Overview

Brought to you by YData

Dataset statistics

Number of variables114
Number of observations47219
Missing cells3903033
Missing cells (%)72.5%
Duplicate rows18931
Duplicate rows (%)40.1%
Total size in memory280.2 MiB
Average record size in memory6.1 KiB

Variable types

Text78
Categorical33
DateTime1
Numeric2

Alerts

Violation Points - 24 has constant value "1.0" Constant
Violation Description - 25 has constant value "*42 Dirty nonfood contact surfaces" Constant
Violation Points - 25 has constant value "1.0" Constant
Violation Detail - 25 has constant value "228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris." Constant
Violation Memo - 25 has constant value "Dirty dust on fans and vents above food prep areas and counters. dirty food containers, outside RIC doors, stoves, ovens, walls, vents, vent filters. Ice on freezer floor." Constant
Dataset has 18931 (40.1%) duplicate rowsDuplicates
Inspection Month is highly overall correlated with Inspection Year and 5 other fieldsHigh correlation
Inspection Score is highly overall correlated with Violation Description - 19 and 3 other fieldsHigh correlation
Inspection Type is highly overall correlated with Violation Description - 20 and 1 other fieldsHigh correlation
Inspection Year is highly overall correlated with Inspection Month and 3 other fieldsHigh correlation
Street Direction is highly overall correlated with Street Number and 1 other fieldsHigh correlation
Street Number is highly overall correlated with Street Direction and 13 other fieldsHigh correlation
Street Type is highly overall correlated with Street Number and 2 other fieldsHigh correlation
Violation Description - 19 is highly overall correlated with Inspection Month and 25 other fieldsHigh correlation
Violation Description - 20 is highly overall correlated with Inspection Month and 21 other fieldsHigh correlation
Violation Detail - 19 is highly overall correlated with Inspection Month and 25 other fieldsHigh correlation
Violation Points - 1 is highly overall correlated with Violation Description - 19 and 5 other fieldsHigh correlation
Violation Points - 10 is highly overall correlated with Violation Description - 19 and 3 other fieldsHigh correlation
Violation Points - 11 is highly overall correlated with Violation Description - 19 and 2 other fieldsHigh correlation
Violation Points - 12 is highly overall correlated with Violation Description - 19 and 1 other fieldsHigh correlation
Violation Points - 13 is highly overall correlated with Violation Description - 19 and 2 other fieldsHigh correlation
Violation Points - 14 is highly overall correlated with Street Number and 1 other fieldsHigh correlation
Violation Points - 15 is highly overall correlated with Street Number and 3 other fieldsHigh correlation
Violation Points - 16 is highly overall correlated with Street Number and 3 other fieldsHigh correlation
Violation Points - 17 is highly overall correlated with Street Number and 4 other fieldsHigh correlation
Violation Points - 18 is highly overall correlated with Street Number and 4 other fieldsHigh correlation
Violation Points - 19 is highly overall correlated with Violation Description - 19 and 2 other fieldsHigh correlation
Violation Points - 2 is highly overall correlated with Violation Description - 19 and 4 other fieldsHigh correlation
Violation Points - 20 is highly overall correlated with Violation Description - 19 and 3 other fieldsHigh correlation
Violation Points - 21 is highly overall correlated with Street Number and 7 other fieldsHigh correlation
Violation Points - 22 is highly overall correlated with Inspection Month and 10 other fieldsHigh correlation
Violation Points - 23 is highly overall correlated with Inspection Month and 17 other fieldsHigh correlation
Violation Points - 3 is highly overall correlated with Violation Description - 19 and 4 other fieldsHigh correlation
Violation Points - 4 is highly overall correlated with Violation Description - 19 and 3 other fieldsHigh correlation
Violation Points - 5 is highly overall correlated with Violation Points - 21High correlation
Violation Points - 6 is highly overall correlated with Violation Description - 19 and 2 other fieldsHigh correlation
Violation Points - 7 is highly overall correlated with Violation Description - 19 and 1 other fieldsHigh correlation
Violation Points - 8 is highly overall correlated with Violation Description - 19 and 4 other fieldsHigh correlation
Violation Points - 9 is highly overall correlated with Street Number and 1 other fieldsHigh correlation
Inspection Type is highly imbalanced (95.5%) Imbalance
Street Direction has 31239 (66.2%) missing values Missing
Street Type has 1013 (2.1%) missing values Missing
Street Unit has 30749 (65.1%) missing values Missing
Violation Description - 1 has 4476 (9.5%) missing values Missing
Violation Points - 1 has 4476 (9.5%) missing values Missing
Violation Detail - 1 has 4874 (10.3%) missing values Missing
Violation Memo - 1 has 10453 (22.1%) missing values Missing
Violation Description - 2 has 9222 (19.5%) missing values Missing
Violation Points - 2 has 9222 (19.5%) missing values Missing
Violation Detail - 2 has 9682 (20.5%) missing values Missing
Violation Memo - 2 has 15038 (31.8%) missing values Missing
Violation Description - 3 has 14825 (31.4%) missing values Missing
Violation Points - 3 has 14825 (31.4%) missing values Missing
Violation Detail - 3 has 15281 (32.4%) missing values Missing
Violation Memo - 3 has 19913 (42.2%) missing values Missing
Violation Description - 4 has 20331 (43.1%) missing values Missing
Violation Points - 4 has 20331 (43.1%) missing values Missing
Violation Detail - 4 has 20788 (44.0%) missing values Missing
Violation Memo - 4 has 24473 (51.8%) missing values Missing
Violation Description - 5 has 25327 (53.6%) missing values Missing
Violation Points - 5 has 25327 (53.6%) missing values Missing
Violation Detail - 5 has 25724 (54.5%) missing values Missing
Violation Memo - 5 has 28635 (60.6%) missing values Missing
Violation Description - 6 has 29560 (62.6%) missing values Missing
Violation Points - 6 has 29560 (62.6%) missing values Missing
Violation Detail - 6 has 29887 (63.3%) missing values Missing
Violation Memo - 6 has 32163 (68.1%) missing values Missing
Violation Description - 7 has 33235 (70.4%) missing values Missing
Violation Points - 7 has 33235 (70.4%) missing values Missing
Violation Detail - 7 has 33550 (71.1%) missing values Missing
Violation Memo - 7 has 35233 (74.6%) missing values Missing
Violation Description - 8 has 36374 (77.0%) missing values Missing
Violation Points - 8 has 36374 (77.0%) missing values Missing
Violation Detail - 8 has 36624 (77.6%) missing values Missing
Violation Memo - 8 has 37890 (80.2%) missing values Missing
Violation Description - 9 has 38963 (82.5%) missing values Missing
Violation Points - 9 has 38963 (82.5%) missing values Missing
Violation Detail - 9 has 39152 (82.9%) missing values Missing
Violation Memo - 9 has 40022 (84.8%) missing values Missing
Violation Description - 10 has 41135 (87.1%) missing values Missing
Violation Points - 10 has 41135 (87.1%) missing values Missing
Violation Detail - 10 has 41283 (87.4%) missing values Missing
Violation Memo - 10 has 41880 (88.7%) missing values Missing
Violation Description - 11 has 43057 (91.2%) missing values Missing
Violation Points - 11 has 43057 (91.2%) missing values Missing
Violation Detail - 11 has 43163 (91.4%) missing values Missing
Violation Memo - 11 has 43541 (92.2%) missing values Missing
Violation Description - 12 has 44652 (94.6%) missing values Missing
Violation Points - 12 has 44652 (94.6%) missing values Missing
Violation Detail - 12 has 44740 (94.7%) missing values Missing
Violation Memo - 12 has 44937 (95.2%) missing values Missing
Violation Description - 13 has 45683 (96.7%) missing values Missing
Violation Points - 13 has 45683 (96.7%) missing values Missing
Violation Detail - 13 has 45736 (96.9%) missing values Missing
Violation Memo - 13 has 45849 (97.1%) missing values Missing
Violation Description - 14 has 46201 (97.8%) missing values Missing
Violation Points - 14 has 46201 (97.8%) missing values Missing
Violation Detail - 14 has 46231 (97.9%) missing values Missing
Violation Memo - 14 has 46305 (98.1%) missing values Missing
Violation Description - 15 has 46526 (98.5%) missing values Missing
Violation Points - 15 has 46526 (98.5%) missing values Missing
Violation Detail - 15 has 46548 (98.6%) missing values Missing
Violation Memo - 15 has 46610 (98.7%) missing values Missing
Violation Description - 16 has 46791 (99.1%) missing values Missing
Violation Points - 16 has 46791 (99.1%) missing values Missing
Violation Detail - 16 has 46811 (99.1%) missing values Missing
Violation Memo - 16 has 46830 (99.2%) missing values Missing
Violation Description - 17 has 46962 (99.5%) missing values Missing
Violation Points - 17 has 46962 (99.5%) missing values Missing
Violation Detail - 17 has 46966 (99.5%) missing values Missing
Violation Memo - 17 has 46983 (99.5%) missing values Missing
Violation Description - 18 has 47070 (99.7%) missing values Missing
Violation Points - 18 has 47070 (99.7%) missing values Missing
Violation Detail - 18 has 47074 (99.7%) missing values Missing
Violation Memo - 18 has 47086 (99.7%) missing values Missing
Violation Description - 19 has 47128 (99.8%) missing values Missing
Violation Points - 19 has 47128 (99.8%) missing values Missing
Violation Detail - 19 has 47129 (99.8%) missing values Missing
Violation Memo - 19 has 47138 (99.8%) missing values Missing
Violation Description - 20 has 47165 (99.9%) missing values Missing
Violation Points - 20 has 47165 (99.9%) missing values Missing
Violation Detail - 20 has 47169 (99.9%) missing values Missing
Violation Memo - 20 has 47168 (99.9%) missing values Missing
Violation Description - 21 has 47183 (99.9%) missing values Missing
Violation Points - 21 has 47183 (99.9%) missing values Missing
Violation Detail - 21 has 47188 (99.9%) missing values Missing
Violation Memo - 21 has 47185 (99.9%) missing values Missing
Violation Description - 22 has 47200 (> 99.9%) missing values Missing
Violation Points - 22 has 47200 (> 99.9%) missing values Missing
Violation Detail - 22 has 47200 (> 99.9%) missing values Missing
Violation Memo - 22 has 47200 (> 99.9%) missing values Missing
Violation Description - 23 has 47211 (> 99.9%) missing values Missing
Violation Points - 23 has 47211 (> 99.9%) missing values Missing
Violation Detail - 23 has 47211 (> 99.9%) missing values Missing
Violation Memo - 23 has 47211 (> 99.9%) missing values Missing
Violation Description - 24 has 47214 (> 99.9%) missing values Missing
Violation Points - 24 has 47214 (> 99.9%) missing values Missing
Violation Detail - 24 has 47214 (> 99.9%) missing values Missing
Violation Memo - 24 has 47214 (> 99.9%) missing values Missing
Violation Description - 25 has 47217 (> 99.9%) missing values Missing
Violation Points - 25 has 47217 (> 99.9%) missing values Missing
Violation Detail - 25 has 47217 (> 99.9%) missing values Missing
Violation Memo - 25 has 47217 (> 99.9%) missing values Missing

Reproduction

Analysis started2025-04-11 00:08:49.285091
Analysis finished2025-04-11 00:09:25.060459
Duration35.78 seconds
Software versionydata-profiling vv4.12.2
Download configurationconfig.json

Variables

Distinct7291
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size3.4 MiB
2025-04-10T20:09:25.430620image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length65
Median length52
Mean length19.490459
Min length3

Characters and Unicode

Total characters920320
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique386 ?
Unique (%)0.8%

Sample

1st rowSAMS CLUB #6482 - DEMO ROOM
2nd rowAMC THEATRES NORTHPARK 15 (BAR)
3rd rowSAM'S CLUB #8282 - DEMO ROOM
4th rowAFC SUSHI
5th rowFANNIN INNOVATION DESIGN
ValueCountFrequency (%)
4479
 
3.0%
the 1817
 
1.2%
restaurant 1775
 
1.2%
bar 1737
 
1.2%
kitchen 1683
 
1.1%
la 1643
 
1.1%
school 1526
 
1.0%
cafe 1494
 
1.0%
food 1462
 
1.0%
el 1419
 
0.9%
Other values (6360) 130855
87.3%
2025-04-10T20:09:25.855739image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103061
 
11.2%
E 81163
 
8.8%
A 79488
 
8.6%
R 55982
 
6.1%
O 55013
 
6.0%
S 51104
 
5.6%
I 50436
 
5.5%
T 50147
 
5.4%
N 45698
 
5.0%
L 45433
 
4.9%
Other values (61) 302795
32.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 920320
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
103061
 
11.2%
E 81163
 
8.8%
A 79488
 
8.6%
R 55982
 
6.1%
O 55013
 
6.0%
S 51104
 
5.6%
I 50436
 
5.5%
T 50147
 
5.4%
N 45698
 
5.0%
L 45433
 
4.9%
Other values (61) 302795
32.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 920320
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
103061
 
11.2%
E 81163
 
8.8%
A 79488
 
8.6%
R 55982
 
6.1%
O 55013
 
6.0%
S 51104
 
5.6%
I 50436
 
5.5%
T 50147
 
5.4%
N 45698
 
5.0%
L 45433
 
4.9%
Other values (61) 302795
32.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 920320
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
103061
 
11.2%
E 81163
 
8.8%
A 79488
 
8.6%
R 55982
 
6.1%
O 55013
 
6.0%
S 51104
 
5.6%
I 50436
 
5.5%
T 50147
 
5.4%
N 45698
 
5.0%
L 45433
 
4.9%
Other values (61) 302795
32.9%

Inspection Type
Categorical

High correlation  Imbalance 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
Routine
46823 
Follow-up
 
389
Complaint
 
7

Length

Max length9
Median length7
Mean length7.0167729
Min length7

Characters and Unicode

Total characters331325
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRoutine
2nd rowRoutine
3rd rowRoutine
4th rowRoutine
5th rowRoutine

Common Values

ValueCountFrequency (%)
Routine 46823
99.2%
Follow-up 389
 
0.8%
Complaint 7
 
< 0.1%

Length

2025-04-10T20:09:26.045249image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:09:26.140490image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
routine 46823
99.2%
follow-up 389
 
0.8%
complaint 7
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
o 47608
14.4%
u 47212
14.2%
t 46830
14.1%
i 46830
14.1%
n 46830
14.1%
R 46823
14.1%
e 46823
14.1%
l 785
 
0.2%
p 396
 
0.1%
F 389
 
0.1%
Other values (5) 799
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 331325
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 47608
14.4%
u 47212
14.2%
t 46830
14.1%
i 46830
14.1%
n 46830
14.1%
R 46823
14.1%
e 46823
14.1%
l 785
 
0.2%
p 396
 
0.1%
F 389
 
0.1%
Other values (5) 799
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 331325
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 47608
14.4%
u 47212
14.2%
t 46830
14.1%
i 46830
14.1%
n 46830
14.1%
R 46823
14.1%
e 46823
14.1%
l 785
 
0.2%
p 396
 
0.1%
F 389
 
0.1%
Other values (5) 799
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 331325
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 47608
14.4%
u 47212
14.2%
t 46830
14.1%
i 46830
14.1%
n 46830
14.1%
R 46823
14.1%
e 46823
14.1%
l 785
 
0.2%
p 396
 
0.1%
F 389
 
0.1%
Other values (5) 799
 
0.2%
Distinct988
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size369.0 KiB
Minimum2021-01-02 00:00:00
Maximum2024-02-29 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-04-10T20:09:26.346382image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-04-10T20:09:26.468749image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Inspection Score
Real number (ℝ)

High correlation 

Distinct52
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.450581
Minimum-26
Maximum100
Zeros1
Zeros (%)< 0.1%
Negative12
Negative (%)< 0.1%
Memory size369.0 KiB
2025-04-10T20:09:26.700540image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-26
5-th percentile80
Q187
median93
Q397
95-th percentile100
Maximum100
Range126
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.8756764
Coefficient of variation (CV)0.075184611
Kurtosis14.090446
Mean91.450581
Median Absolute Deviation (MAD)4
Skewness-1.7300955
Sum4318205
Variance47.274925
MonotonicityNot monotonic
2025-04-10T20:09:26.920163image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 4471
 
9.5%
95 3333
 
7.1%
97 3242
 
6.9%
96 2993
 
6.3%
94 2954
 
6.3%
98 2730
 
5.8%
93 2627
 
5.6%
90 2553
 
5.4%
92 2550
 
5.4%
91 2217
 
4.7%
Other values (42) 17549
37.2%
ValueCountFrequency (%)
-26 2
< 0.1%
-15 2
< 0.1%
-13 2
< 0.1%
-5 4
< 0.1%
-3 2
< 0.1%
0 1
 
< 0.1%
44 2
< 0.1%
56 2
< 0.1%
57 1
 
< 0.1%
58 3
< 0.1%
ValueCountFrequency (%)
100 4471
9.5%
99 2022
4.3%
98 2730
5.8%
97 3242
6.9%
96 2993
6.3%
95 3333
7.1%
94 2954
6.3%
93 2627
5.6%
92 2550
5.4%
91 2217
4.7%

Street Number
Real number (ℝ)

High correlation 

Distinct3218
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5501.7723
Minimum0
Maximum39779
Zeros48
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size369.0 KiB
2025-04-10T20:09:27.074171image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile501
Q12308
median4200
Q38227
95-th percentile13402
Maximum39779
Range39779
Interquartile range (IQR)5919

Descriptive statistics

Standard deviation4341.7557
Coefficient of variation (CV)0.78915583
Kurtosis4.7290088
Mean5501.7723
Median Absolute Deviation (MAD)2499
Skewness1.4588985
Sum2.5978819 × 108
Variance18850842
MonotonicityNot monotonic
2025-04-10T20:09:27.294504image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2500 329
 
0.7%
8008 236
 
0.5%
8687 215
 
0.5%
400 205
 
0.4%
650 177
 
0.4%
13350 173
 
0.4%
1515 165
 
0.3%
3000 152
 
0.3%
2201 150
 
0.3%
1201 148
 
0.3%
Other values (3208) 45269
95.9%
ValueCountFrequency (%)
0 48
0.1%
100 36
0.1%
102 30
0.1%
103 4
 
< 0.1%
104 4
 
< 0.1%
105 5
 
< 0.1%
106 21
< 0.1%
108 5
 
< 0.1%
110 26
0.1%
111 45
0.1%
ValueCountFrequency (%)
39779 23
< 0.1%
39739 10
< 0.1%
39718 10
< 0.1%
39640 15
< 0.1%
33333 2
 
< 0.1%
19304 8
 
< 0.1%
19177 8
 
< 0.1%
19160 9
 
< 0.1%
19129 19
< 0.1%
19111 9
 
< 0.1%
Distinct788
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
2025-04-10T20:09:27.674166image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length25
Median length21
Mean length7.9387111
Min length2

Characters and Unicode

Total characters374858
Distinct characters42
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)< 0.1%

Sample

1st rowBUCKNER
2nd rowCENTRAL
3rd rowWHEATLAND
4th rowBECKLEY
5th rowROSS
ValueCountFrequency (%)
northwest 1427
 
2.4%
preston 1423
 
2.4%
forest 1193
 
2.0%
buckner 1104
 
1.9%
greenville 1079
 
1.9%
central 1063
 
1.8%
hill 900
 
1.5%
walnut 823
 
1.4%
mockingbird 819
 
1.4%
harry 726
 
1.2%
Other values (815) 47691
81.9%
2025-04-10T20:09:28.240434image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 36972
 
9.9%
R 32001
 
8.5%
L 30713
 
8.2%
N 30303
 
8.1%
A 29634
 
7.9%
O 25763
 
6.9%
T 22321
 
6.0%
S 21357
 
5.7%
I 20595
 
5.5%
M 14376
 
3.8%
Other values (32) 110823
29.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 374858
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
E 36972
 
9.9%
R 32001
 
8.5%
L 30713
 
8.2%
N 30303
 
8.1%
A 29634
 
7.9%
O 25763
 
6.9%
T 22321
 
6.0%
S 21357
 
5.7%
I 20595
 
5.5%
M 14376
 
3.8%
Other values (32) 110823
29.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 374858
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
E 36972
 
9.9%
R 32001
 
8.5%
L 30713
 
8.2%
N 30303
 
8.1%
A 29634
 
7.9%
O 25763
 
6.9%
T 22321
 
6.0%
S 21357
 
5.7%
I 20595
 
5.5%
M 14376
 
3.8%
Other values (32) 110823
29.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 374858
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
E 36972
 
9.9%
R 32001
 
8.5%
L 30713
 
8.2%
N 30303
 
8.1%
A 29634
 
7.9%
O 25763
 
6.9%
T 22321
 
6.0%
S 21357
 
5.7%
I 20595
 
5.5%
M 14376
 
3.8%
Other values (32) 110823
29.6%

Street Direction
Categorical

High correlation  Missing 

Distinct4
Distinct (%)< 0.1%
Missing31239
Missing (%)66.2%
Memory size2.8 MiB
W
5073 
N
4414 
S
4310 
E
2183 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters15980
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowN
3rd rowW
4th rowN
5th rowS

Common Values

ValueCountFrequency (%)
W 5073
 
10.7%
N 4414
 
9.3%
S 4310
 
9.1%
E 2183
 
4.6%
(Missing) 31239
66.2%

Length

2025-04-10T20:09:28.493015image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:09:28.677586image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
w 5073
31.7%
n 4414
27.6%
s 4310
27.0%
e 2183
13.7%

Most occurring characters

ValueCountFrequency (%)
W 5073
31.7%
N 4414
27.6%
S 4310
27.0%
E 2183
13.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 15980
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
W 5073
31.7%
N 4414
27.6%
S 4310
27.0%
E 2183
13.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 15980
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
W 5073
31.7%
N 4414
27.6%
S 4310
27.0%
E 2183
13.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 15980
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
W 5073
31.7%
N 4414
27.6%
S 4310
27.0%
E 2183
13.7%

Street Type
Categorical

High correlation  Missing 

Distinct19
Distinct (%)< 0.1%
Missing1013
Missing (%)2.1%
Memory size2.7 MiB
RD
12031 
AVE
7984 
ST
6828 
LN
5004 
BLVD
4625 
Other values (14)
9734 

Length

Max length4
Median length2
Mean length2.5975414
Min length2

Characters and Unicode

Total characters120022
Distinct characters21
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBLVD
2nd rowEXPW
3rd rowRD
4th rowAVE
5th rowAVE

Common Values

ValueCountFrequency (%)
RD 12031
25.5%
AVE 7984
16.9%
ST 6828
14.5%
LN 5004
10.6%
BLVD 4625
 
9.8%
DR 3228
 
6.8%
FRWY 1820
 
3.9%
HWY 1427
 
3.0%
EXPW 1100
 
2.3%
PKWY 1048
 
2.2%
Other values (9) 1111
 
2.4%
(Missing) 1013
 
2.1%

Length

2025-04-10T20:09:28.890487image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
rd 12031
26.0%
ave 7984
17.3%
st 6828
14.8%
ln 5004
10.8%
blvd 4625
 
10.0%
dr 3228
 
7.0%
frwy 1820
 
3.9%
hwy 1427
 
3.1%
expw 1100
 
2.4%
pkwy 1048
 
2.3%
Other values (9) 1111
 
2.4%

Most occurring characters

ValueCountFrequency (%)
D 19884
16.6%
R 17343
14.4%
V 12609
10.5%
L 9789
8.2%
E 9306
7.8%
A 8375
7.0%
T 7319
 
6.1%
S 6855
 
5.7%
W 5917
 
4.9%
N 5004
 
4.2%
Other values (11) 17621
14.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 120022
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
D 19884
16.6%
R 17343
14.4%
V 12609
10.5%
L 9789
8.2%
E 9306
7.8%
A 8375
7.0%
T 7319
 
6.1%
S 6855
 
5.7%
W 5917
 
4.9%
N 5004
 
4.2%
Other values (11) 17621
14.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 120022
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
D 19884
16.6%
R 17343
14.4%
V 12609
10.5%
L 9789
8.2%
E 9306
7.8%
A 8375
7.0%
T 7319
 
6.1%
S 6855
 
5.7%
W 5917
 
4.9%
N 5004
 
4.2%
Other values (11) 17621
14.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 120022
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
D 19884
16.6%
R 17343
14.4%
V 12609
10.5%
L 9789
8.2%
E 9306
7.8%
A 8375
7.0%
T 7319
 
6.1%
S 6855
 
5.7%
W 5917
 
4.9%
N 5004
 
4.2%
Other values (11) 17621
14.7%

Street Unit
Text

Missing 

Distinct827
Distinct (%)5.0%
Missing30749
Missing (%)65.1%
Memory size1.9 MiB
2025-04-10T20:09:29.300766image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.828051
Min length1

Characters and Unicode

Total characters63048
Distinct characters36
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)0.2%

Sample

1st row#3000
2nd row#5015
3rd row#120
4th row#107
5th row#180
ValueCountFrequency (%)
100 1839
 
11.1%
110 694
 
4.2%
a 651
 
3.9%
101 553
 
3.3%
b 447
 
2.7%
102 371
 
2.2%
120 358
 
2.2%
300 315
 
1.9%
200 300
 
1.8%
130 291
 
1.8%
Other values (723) 10736
64.9%
2025-04-10T20:09:29.777493image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 14779
23.4%
0 13800
21.9%
1 13272
21.1%
2 4672
 
7.4%
3 2987
 
4.7%
5 2471
 
3.9%
4 2008
 
3.2%
6 1584
 
2.5%
8 1241
 
2.0%
7 1212
 
1.9%
Other values (26) 5022
 
8.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 63048
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
# 14779
23.4%
0 13800
21.9%
1 13272
21.1%
2 4672
 
7.4%
3 2987
 
4.7%
5 2471
 
3.9%
4 2008
 
3.2%
6 1584
 
2.5%
8 1241
 
2.0%
7 1212
 
1.9%
Other values (26) 5022
 
8.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 63048
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
# 14779
23.4%
0 13800
21.9%
1 13272
21.1%
2 4672
 
7.4%
3 2987
 
4.7%
5 2471
 
3.9%
4 2008
 
3.2%
6 1584
 
2.5%
8 1241
 
2.0%
7 1212
 
1.9%
Other values (26) 5022
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 63048
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
# 14779
23.4%
0 13800
21.9%
1 13272
21.1%
2 4672
 
7.4%
3 2987
 
4.7%
5 2471
 
3.9%
4 2008
 
3.2%
6 1584
 
2.5%
8 1241
 
2.0%
7 1212
 
1.9%
Other values (26) 5022
 
8.0%
Distinct6692
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Memory size3.4 MiB
2025-04-10T20:09:30.087104image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length37
Median length32
Mean length19.004934
Min length10

Characters and Unicode

Total characters897394
Distinct characters46
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)0.5%

Sample

1st row5555 S BUCKNER BLVD
2nd row8687 N CENTRAL EXPW #3000
3rd row2900 W WHEATLAND RD
4th row1441 N BECKLEY AVE
5th row4800 ROSS AVE
ValueCountFrequency (%)
rd 12045
 
6.5%
ave 7989
 
4.3%
st 7063
 
3.8%
w 5135
 
2.8%
ln 5030
 
2.7%
blvd 4644
 
2.5%
n 4414
 
2.4%
s 4323
 
2.3%
dr 3228
 
1.7%
e 2296
 
1.2%
Other values (4588) 129518
69.8%
2025-04-10T20:09:30.431020image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138466
 
15.4%
E 49691
 
5.5%
R 49561
 
5.5%
1 47114
 
5.3%
0 45956
 
5.1%
L 40985
 
4.6%
N 39778
 
4.4%
A 39223
 
4.4%
S 33551
 
3.7%
T 30767
 
3.4%
Other values (36) 382302
42.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 897394
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
138466
 
15.4%
E 49691
 
5.5%
R 49561
 
5.5%
1 47114
 
5.3%
0 45956
 
5.1%
L 40985
 
4.6%
N 39778
 
4.4%
A 39223
 
4.4%
S 33551
 
3.7%
T 30767
 
3.4%
Other values (36) 382302
42.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 897394
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
138466
 
15.4%
E 49691
 
5.5%
R 49561
 
5.5%
1 47114
 
5.3%
0 45956
 
5.1%
L 40985
 
4.6%
N 39778
 
4.4%
A 39223
 
4.4%
S 33551
 
3.7%
T 30767
 
3.4%
Other values (36) 382302
42.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 897394
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
138466
 
15.4%
E 49691
 
5.5%
R 49561
 
5.5%
1 47114
 
5.3%
0 45956
 
5.1%
L 40985
 
4.6%
N 39778
 
4.4%
A 39223
 
4.4%
S 33551
 
3.7%
T 30767
 
3.4%
Other values (36) 382302
42.6%
Distinct146
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
2025-04-10T20:09:30.843748image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.0306656
Min length5

Characters and Unicode

Total characters237543
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row75227
2nd row75225
3rd row75237
4th row75208
5th row75204
ValueCountFrequency (%)
75201 2453
 
5.2%
75220 2146
 
4.5%
75217 1980
 
4.2%
75211 1974
 
4.2%
75206 1899
 
4.0%
75208 1773
 
3.8%
75243 1738
 
3.7%
75231 1647
 
3.5%
75228 1579
 
3.3%
75229 1455
 
3.1%
Other values (136) 28575
60.5%
2025-04-10T20:09:31.102484image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 59984
25.3%
7 53578
22.6%
5 52144
22.0%
1 17405
 
7.3%
0 16494
 
6.9%
3 11121
 
4.7%
4 10902
 
4.6%
8 6977
 
2.9%
6 4700
 
2.0%
9 3978
 
1.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 237543
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 59984
25.3%
7 53578
22.6%
5 52144
22.0%
1 17405
 
7.3%
0 16494
 
6.9%
3 11121
 
4.7%
4 10902
 
4.6%
8 6977
 
2.9%
6 4700
 
2.0%
9 3978
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 237543
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 59984
25.3%
7 53578
22.6%
5 52144
22.0%
1 17405
 
7.3%
0 16494
 
6.9%
3 11121
 
4.7%
4 10902
 
4.6%
8 6977
 
2.9%
6 4700
 
2.0%
9 3978
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 237543
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 59984
25.3%
7 53578
22.6%
5 52144
22.0%
1 17405
 
7.3%
0 16494
 
6.9%
3 11121
 
4.7%
4 10902
 
4.6%
8 6977
 
2.9%
6 4700
 
2.0%
9 3978
 
1.7%
Distinct460
Distinct (%)1.1%
Missing4476
Missing (%)9.5%
Memory size4.4 MiB
2025-04-10T20:09:31.264301image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length93
Mean length42.871815
Min length12

Characters and Unicode

Total characters1832470
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)0.1%

Sample

1st row*29 Concentration of the sanitizing solution shall be accurately determined by using a test kit or o
2nd row*07 Food safe, good condition, unadulterated, and honestly presented
3rd row*31 No soap at handsink
4th row*42 Dirty nonfood contact surfaces
5th row*47 Other Violations
ValueCountFrequency (%)
food 10539
 
3.5%
10401
 
3.5%
and 6977
 
2.3%
10 5711
 
1.9%
or 5247
 
1.8%
not 4949
 
1.7%
in 4915
 
1.6%
clean 4248
 
1.4%
good 4045
 
1.4%
21 4028
 
1.3%
Other values (1020) 238080
79.6%
2025-04-10T20:09:31.650406image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
261198
 
14.3%
e 137864
 
7.5%
o 136807
 
7.5%
n 108350
 
5.9%
t 106201
 
5.8%
i 102289
 
5.6%
a 96332
 
5.3%
r 80243
 
4.4%
s 77836
 
4.2%
d 70331
 
3.8%
Other values (71) 655019
35.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1832470
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
261198
 
14.3%
e 137864
 
7.5%
o 136807
 
7.5%
n 108350
 
5.9%
t 106201
 
5.8%
i 102289
 
5.6%
a 96332
 
5.3%
r 80243
 
4.4%
s 77836
 
4.2%
d 70331
 
3.8%
Other values (71) 655019
35.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1832470
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
261198
 
14.3%
e 137864
 
7.5%
o 136807
 
7.5%
n 108350
 
5.9%
t 106201
 
5.8%
i 102289
 
5.6%
a 96332
 
5.3%
r 80243
 
4.4%
s 77836
 
4.2%
d 70331
 
3.8%
Other values (71) 655019
35.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1832470
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
261198
 
14.3%
e 137864
 
7.5%
o 136807
 
7.5%
n 108350
 
5.9%
t 106201
 
5.8%
i 102289
 
5.6%
a 96332
 
5.3%
r 80243
 
4.4%
s 77836
 
4.2%
d 70331
 
3.8%
Other values (71) 655019
35.7%

Violation Points - 1
Categorical

High correlation  Missing 

Distinct3
Distinct (%)< 0.1%
Missing4476
Missing (%)9.5%
Memory size2.7 MiB
3.0
18294 
1.0
13286 
2.0
11163 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters128229
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row3.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
3.0 18294
38.7%
1.0 13286
28.1%
2.0 11163
23.6%
(Missing) 4476
 
9.5%

Length

2025-04-10T20:09:31.820318image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:09:31.946450image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
3.0 18294
42.8%
1.0 13286
31.1%
2.0 11163
26.1%

Most occurring characters

ValueCountFrequency (%)
. 42743
33.3%
0 42743
33.3%
3 18294
14.3%
1 13286
 
10.4%
2 11163
 
8.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 128229
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 42743
33.3%
0 42743
33.3%
3 18294
14.3%
1 13286
 
10.4%
2 11163
 
8.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 128229
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 42743
33.3%
0 42743
33.3%
3 18294
14.3%
1 13286
 
10.4%
2 11163
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 128229
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 42743
33.3%
0 42743
33.3%
3 18294
14.3%
1 13286
 
10.4%
2 11163
 
8.7%

Violation Detail - 1
Text

Missing 

Distinct472
Distinct (%)1.1%
Missing4874
Missing (%)10.3%
Memory size20.2 MiB
2025-04-10T20:09:32.265388image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length910
Median length742
Mean length370.07363
Min length125

Characters and Unicode

Total characters15670768
Distinct characters73
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)0.1%

Sample

1st row228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (p) Warewashing equipment, determining chemical sanitizer concentration. Concentration of the sanitizing solution shall be accurately determined by using a test kit or other device.
2nd row228.61 Food. Condition safe, unadulterated, and honestly presented. Food shall be safe, unadulterated, and, as specified in õ228.78(b) of this title, honestly presented.
3rd row228.175 Physical Facilities. Handwashing Sinks. (b) Handwashing cleanser, availability. Each handwashing lavatory or group of two adjacent lavatories shall be provided with a supply of hand cleaning liquid, powder, or bar soap.
4th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
ValueCountFrequency (%)
and 123727
 
5.7%
food 89875
 
4.1%
of 74855
 
3.4%
the 68035
 
3.1%
a 56120
 
2.6%
in 49864
 
2.3%
shall 48916
 
2.3%
equipment 44472
 
2.0%
be 42301
 
1.9%
or 38524
 
1.8%
Other values (2231) 1534243
70.7%
2025-04-10T20:09:32.813621image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3195174
20.4%
e 1334334
 
8.5%
a 911663
 
5.8%
n 899931
 
5.7%
t 890480
 
5.7%
i 888827
 
5.7%
o 851216
 
5.4%
s 822435
 
5.2%
r 629864
 
4.0%
d 534824
 
3.4%
Other values (63) 4712020
30.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 15670768
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3195174
20.4%
e 1334334
 
8.5%
a 911663
 
5.8%
n 899931
 
5.7%
t 890480
 
5.7%
i 888827
 
5.7%
o 851216
 
5.4%
s 822435
 
5.2%
r 629864
 
4.0%
d 534824
 
3.4%
Other values (63) 4712020
30.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 15670768
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3195174
20.4%
e 1334334
 
8.5%
a 911663
 
5.8%
n 899931
 
5.7%
t 890480
 
5.7%
i 888827
 
5.7%
o 851216
 
5.4%
s 822435
 
5.2%
r 629864
 
4.0%
d 534824
 
3.4%
Other values (63) 4712020
30.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 15670768
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3195174
20.4%
e 1334334
 
8.5%
a 911663
 
5.8%
n 899931
 
5.7%
t 890480
 
5.7%
i 888827
 
5.7%
o 851216
 
5.4%
s 822435
 
5.2%
r 629864
 
4.0%
d 534824
 
3.4%
Other values (63) 4712020
30.1%

Violation Memo - 1
Text

Missing 

Distinct17918
Distinct (%)48.7%
Missing10453
Missing (%)22.1%
Memory size4.1 MiB
2025-04-10T20:09:33.120571image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length1851
Median length390
Mean length49.843877
Min length1

Characters and Unicode

Total characters1832560
Distinct characters94
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5066 ?
Unique (%)13.8%

Sample

1st rowlow concentration at sanitizer bucket with100 ppm must be maintain at: 200- 400 ppm Quat concentration
2nd rowRemove dented cans
3rd rowClean handles of machinery and spills
4th rowMissing hand wash signs in banquet restrooms
5th rowObserved dirty interior ice machine panel
ValueCountFrequency (%)
in 8579
 
2.7%
observed 6515
 
2.1%
at 6205
 
2.0%
food 5711
 
1.8%
on 5561
 
1.8%
clean 5520
 
1.8%
of 5386
 
1.7%
and 5293
 
1.7%
the 4081
 
1.3%
to 3815
 
1.2%
Other values (7096) 256108
81.9%
2025-04-10T20:09:33.548759image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
286004
 
15.6%
e 142972
 
7.8%
o 94024
 
5.1%
a 86922
 
4.7%
i 78958
 
4.3%
r 78504
 
4.3%
n 78492
 
4.3%
t 77259
 
4.2%
s 71001
 
3.9%
d 53760
 
2.9%
Other values (84) 784664
42.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1832560
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
286004
 
15.6%
e 142972
 
7.8%
o 94024
 
5.1%
a 86922
 
4.7%
i 78958
 
4.3%
r 78504
 
4.3%
n 78492
 
4.3%
t 77259
 
4.2%
s 71001
 
3.9%
d 53760
 
2.9%
Other values (84) 784664
42.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1832560
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
286004
 
15.6%
e 142972
 
7.8%
o 94024
 
5.1%
a 86922
 
4.7%
i 78958
 
4.3%
r 78504
 
4.3%
n 78492
 
4.3%
t 77259
 
4.2%
s 71001
 
3.9%
d 53760
 
2.9%
Other values (84) 784664
42.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1832560
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
286004
 
15.6%
e 142972
 
7.8%
o 94024
 
5.1%
a 86922
 
4.7%
i 78958
 
4.3%
r 78504
 
4.3%
n 78492
 
4.3%
t 77259
 
4.2%
s 71001
 
3.9%
d 53760
 
2.9%
Other values (84) 784664
42.8%
Distinct465
Distinct (%)1.2%
Missing9222
Missing (%)19.5%
Memory size4.0 MiB
2025-04-10T20:09:33.680407image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length89
Mean length43.335158
Min length12

Characters and Unicode

Total characters1646606
Distinct characters82
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)0.1%

Sample

1st row*45 Premises shall be maintained in good repair
2nd row*31 Handwashing lavatory - used for other purpose
3rd row*19 Water & Plumbing in good repair- per code
4th row*47 Health permit posted
5th row*42 Dirty nonfood contact surfaces
ValueCountFrequency (%)
food 9391
 
3.5%
9260
 
3.5%
and 4597
 
1.7%
in 4596
 
1.7%
not 3863
 
1.5%
42 3446
 
1.3%
10 3344
 
1.3%
dirty 3258
 
1.2%
good 3180
 
1.2%
21 3120
 
1.2%
Other values (1029) 216946
81.9%
2025-04-10T20:09:34.072699image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231182
14.0%
e 128367
 
7.8%
o 118987
 
7.2%
n 100534
 
6.1%
i 99270
 
6.0%
t 98376
 
6.0%
a 86459
 
5.3%
s 78533
 
4.8%
r 75029
 
4.6%
d 58896
 
3.6%
Other values (72) 570973
34.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1646606
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
231182
14.0%
e 128367
 
7.8%
o 118987
 
7.2%
n 100534
 
6.1%
i 99270
 
6.0%
t 98376
 
6.0%
a 86459
 
5.3%
s 78533
 
4.8%
r 75029
 
4.6%
d 58896
 
3.6%
Other values (72) 570973
34.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1646606
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
231182
14.0%
e 128367
 
7.8%
o 118987
 
7.2%
n 100534
 
6.1%
i 99270
 
6.0%
t 98376
 
6.0%
a 86459
 
5.3%
s 78533
 
4.8%
r 75029
 
4.6%
d 58896
 
3.6%
Other values (72) 570973
34.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1646606
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
231182
14.0%
e 128367
 
7.8%
o 118987
 
7.2%
n 100534
 
6.1%
i 99270
 
6.0%
t 98376
 
6.0%
a 86459
 
5.3%
s 78533
 
4.8%
r 75029
 
4.6%
d 58896
 
3.6%
Other values (72) 570973
34.7%

Violation Points - 2
Categorical

High correlation  Missing 

Distinct4
Distinct (%)< 0.1%
Missing9222
Missing (%)19.5%
Memory size2.7 MiB
1.0
15774 
2.0
11411 
3.0
10810 
4.0
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters113991
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row3.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 15774
33.4%
2.0 11411
24.2%
3.0 10810
22.9%
4.0 2
 
< 0.1%
(Missing) 9222
19.5%

Length

2025-04-10T20:09:34.220666image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:09:34.290233image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 15774
41.5%
2.0 11411
30.0%
3.0 10810
28.4%
4.0 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 37997
33.3%
0 37997
33.3%
1 15774
13.8%
2 11411
 
10.0%
3 10810
 
9.5%
4 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 113991
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 37997
33.3%
0 37997
33.3%
1 15774
13.8%
2 11411
 
10.0%
3 10810
 
9.5%
4 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 113991
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 37997
33.3%
0 37997
33.3%
1 15774
13.8%
2 11411
 
10.0%
3 10810
 
9.5%
4 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 113991
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 37997
33.3%
0 37997
33.3%
1 15774
13.8%
2 11411
 
10.0%
3 10810
 
9.5%
4 2
 
< 0.1%

Violation Detail - 2
Text

Missing 

Distinct474
Distinct (%)1.3%
Missing9682
Missing (%)20.5%
Memory size17.5 MiB
2025-04-10T20:09:34.485762image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length910
Median length726
Mean length358.57029
Min length125

Characters and Unicode

Total characters13459653
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)0.1%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
2nd row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (a) Using a handwashing facility. (2) A handwashing facility may not be used for purposes other than handwashing.
3rd row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; and
4th rowSEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (11) Display. A food establishment that operates from a fixed facility shall display its permit in a frame with a glass cover at a prominent place inside the facility where it can be easily seen by the public.
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
ValueCountFrequency (%)
and 103216
 
5.6%
food 77496
 
4.2%
of 64885
 
3.5%
the 62010
 
3.3%
a 51375
 
2.8%
shall 43228
 
2.3%
in 41505
 
2.2%
equipment 39661
 
2.1%
be 37513
 
2.0%
or 29775
 
1.6%
Other values (2231) 1306881
70.4%
2025-04-10T20:09:35.190588image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2718459
20.2%
e 1151690
 
8.6%
a 784794
 
5.8%
n 782734
 
5.8%
i 775838
 
5.8%
t 763624
 
5.7%
o 721211
 
5.4%
s 720087
 
5.3%
r 538782
 
4.0%
d 456575
 
3.4%
Other values (66) 4045859
30.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 13459653
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2718459
20.2%
e 1151690
 
8.6%
a 784794
 
5.8%
n 782734
 
5.8%
i 775838
 
5.8%
t 763624
 
5.7%
o 721211
 
5.4%
s 720087
 
5.3%
r 538782
 
4.0%
d 456575
 
3.4%
Other values (66) 4045859
30.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 13459653
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2718459
20.2%
e 1151690
 
8.6%
a 784794
 
5.8%
n 782734
 
5.8%
i 775838
 
5.8%
t 763624
 
5.7%
o 721211
 
5.4%
s 720087
 
5.3%
r 538782
 
4.0%
d 456575
 
3.4%
Other values (66) 4045859
30.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 13459653
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2718459
20.2%
e 1151690
 
8.6%
a 784794
 
5.8%
n 782734
 
5.8%
i 775838
 
5.8%
t 763624
 
5.7%
o 721211
 
5.4%
s 720087
 
5.3%
r 538782
 
4.0%
d 456575
 
3.4%
Other values (66) 4045859
30.1%

Violation Memo - 2
Text

Missing 

Distinct15888
Distinct (%)49.4%
Missing15038
Missing (%)31.8%
Memory size3.7 MiB
2025-04-10T20:09:35.590400image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length1715
Median length284
Mean length47.307076
Min length1

Characters and Unicode

Total characters1522389
Distinct characters96
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4510 ?
Unique (%)14.0%

Sample

1st rowReplace lights under vent hood
2nd rowObserved rinsing personal coffee mug in hand sink
3rd rowFix the plumbing at the hand sink
4th rowNOT POSTED
5th rowclean shelves in walk in freezer-ice build up on, clean fan covers in walk in cooler
ValueCountFrequency (%)
in 7895
 
3.1%
food 5415
 
2.1%
on 5238
 
2.0%
observed 5133
 
2.0%
clean 4860
 
1.9%
of 4500
 
1.7%
and 4373
 
1.7%
at 3819
 
1.5%
the 3614
 
1.4%
to 3243
 
1.3%
Other values (5911) 209446
81.3%
2025-04-10T20:09:36.300669image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231849
 
15.2%
e 119076
 
7.8%
o 81103
 
5.3%
a 71911
 
4.7%
n 68350
 
4.5%
r 67109
 
4.4%
i 66998
 
4.4%
t 65373
 
4.3%
s 60494
 
4.0%
d 44637
 
2.9%
Other values (86) 645489
42.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1522389
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
231849
 
15.2%
e 119076
 
7.8%
o 81103
 
5.3%
a 71911
 
4.7%
n 68350
 
4.5%
r 67109
 
4.4%
i 66998
 
4.4%
t 65373
 
4.3%
s 60494
 
4.0%
d 44637
 
2.9%
Other values (86) 645489
42.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1522389
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
231849
 
15.2%
e 119076
 
7.8%
o 81103
 
5.3%
a 71911
 
4.7%
n 68350
 
4.5%
r 67109
 
4.4%
i 66998
 
4.4%
t 65373
 
4.3%
s 60494
 
4.0%
d 44637
 
2.9%
Other values (86) 645489
42.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1522389
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
231849
 
15.2%
e 119076
 
7.8%
o 81103
 
5.3%
a 71911
 
4.7%
n 68350
 
4.5%
r 67109
 
4.4%
i 66998
 
4.4%
t 65373
 
4.3%
s 60494
 
4.0%
d 44637
 
2.9%
Other values (86) 645489
42.4%
Distinct462
Distinct (%)1.4%
Missing14825
Missing (%)31.4%
Memory size3.6 MiB
2025-04-10T20:09:36.580629image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length91
Mean length43.665524
Min length12

Characters and Unicode

Total characters1414501
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)0.1%

Sample

1st row*38 Thawing. under running water criteria
2nd row*14 When to wash hands before donning new gloves
3rd row*20 Grease Trap Tickets
4th row*28 Original cont. of RTE/PHF/Day1= day of opening
5th row*47 Health permit posted
ValueCountFrequency (%)
food 8084
 
3.6%
7515
 
3.3%
in 3879
 
1.7%
and 3166
 
1.4%
42 3113
 
1.4%
dirty 2978
 
1.3%
not 2904
 
1.3%
or 2842
 
1.3%
of 2549
 
1.1%
good 2538
 
1.1%
Other values (1036) 185565
82.4%
2025-04-10T20:09:37.132331image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196045
13.9%
e 111833
 
7.9%
o 102132
 
7.2%
i 86884
 
6.1%
n 85870
 
6.1%
t 84145
 
5.9%
a 72072
 
5.1%
s 71149
 
5.0%
r 64690
 
4.6%
d 50111
 
3.5%
Other values (71) 489570
34.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1414501
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
196045
13.9%
e 111833
 
7.9%
o 102132
 
7.2%
i 86884
 
6.1%
n 85870
 
6.1%
t 84145
 
5.9%
a 72072
 
5.1%
s 71149
 
5.0%
r 64690
 
4.6%
d 50111
 
3.5%
Other values (71) 489570
34.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1414501
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
196045
13.9%
e 111833
 
7.9%
o 102132
 
7.2%
i 86884
 
6.1%
n 85870
 
6.1%
t 84145
 
5.9%
a 72072
 
5.1%
s 71149
 
5.0%
r 64690
 
4.6%
d 50111
 
3.5%
Other values (71) 489570
34.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1414501
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
196045
13.9%
e 111833
 
7.9%
o 102132
 
7.2%
i 86884
 
6.1%
n 85870
 
6.1%
t 84145
 
5.9%
a 72072
 
5.1%
s 71149
 
5.0%
r 64690
 
4.6%
d 50111
 
3.5%
Other values (71) 489570
34.6%

Violation Points - 3
Categorical

High correlation  Missing 

Distinct4
Distinct (%)< 0.1%
Missing14825
Missing (%)31.4%
Memory size2.8 MiB
1.0
15517 
2.0
10235 
3.0
6638 
4.0
 
4

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters97182
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row3.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 15517
32.9%
2.0 10235
21.7%
3.0 6638
14.1%
4.0 4
 
< 0.1%
(Missing) 14825
31.4%

Length

2025-04-10T20:09:37.387362image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:09:37.580538image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 15517
47.9%
2.0 10235
31.6%
3.0 6638
20.5%
4.0 4
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 32394
33.3%
0 32394
33.3%
1 15517
16.0%
2 10235
 
10.5%
3 6638
 
6.8%
4 4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 97182
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 32394
33.3%
0 32394
33.3%
1 15517
16.0%
2 10235
 
10.5%
3 6638
 
6.8%
4 4
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 97182
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 32394
33.3%
0 32394
33.3%
1 15517
16.0%
2 10235
 
10.5%
3 6638
 
6.8%
4 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 97182
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 32394
33.3%
0 32394
33.3%
1 15517
16.0%
2 10235
 
10.5%
3 6638
 
6.8%
4 4
 
< 0.1%

Violation Detail - 3
Text

Missing 

Distinct470
Distinct (%)1.5%
Missing15281
Missing (%)32.4%
Memory size14.9 MiB
2025-04-10T20:09:37.946427image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length1043
Median length695
Mean length356.25214
Min length125

Characters and Unicode

Total characters11377981
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)0.1%

Sample

1st row228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water:
2nd row228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (8) before donning gloves to initiate a task that involves working with food; and
3rd rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
4th row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (1) Except when packaging food using a reduced oxygen packaging method as specified in õ228.77 of this title, and except as specified in paragraphs (5) and (6) of this subsection, refrigerated, ready-to-eat, TCS food prepared and held in a food establishment for more than 24 hours shall be clearly marked to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded when held at a temperature of 5 degrees Celsius (41 degrees Fahrenheit) or less for a maximum of 7 days. The day of preparation shall be counted as day 1.
5th rowSEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (11) Display. A food establishment that operates from a fixed facility shall display its permit in a frame with a glass cover at a prominent place inside the facility where it can be easily seen by the public.
ValueCountFrequency (%)
and 85040
 
5.4%
food 65583
 
4.2%
of 55708
 
3.5%
the 53339
 
3.4%
a 43848
 
2.8%
shall 36347
 
2.3%
in 34524
 
2.2%
equipment 32194
 
2.1%
be 31907
 
2.0%
or 25484
 
1.6%
Other values (2245) 1105505
70.4%
2025-04-10T20:09:38.650569image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2305867
20.3%
e 977032
 
8.6%
i 660129
 
5.8%
a 659945
 
5.8%
n 656087
 
5.8%
t 643668
 
5.7%
s 612121
 
5.4%
o 607838
 
5.3%
r 458366
 
4.0%
d 386067
 
3.4%
Other values (64) 3410861
30.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11377981
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2305867
20.3%
e 977032
 
8.6%
i 660129
 
5.8%
a 659945
 
5.8%
n 656087
 
5.8%
t 643668
 
5.7%
s 612121
 
5.4%
o 607838
 
5.3%
r 458366
 
4.0%
d 386067
 
3.4%
Other values (64) 3410861
30.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11377981
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2305867
20.3%
e 977032
 
8.6%
i 660129
 
5.8%
a 659945
 
5.8%
n 656087
 
5.8%
t 643668
 
5.7%
s 612121
 
5.4%
o 607838
 
5.3%
r 458366
 
4.0%
d 386067
 
3.4%
Other values (64) 3410861
30.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11377981
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2305867
20.3%
e 977032
 
8.6%
i 660129
 
5.8%
a 659945
 
5.8%
n 656087
 
5.8%
t 643668
 
5.7%
s 612121
 
5.4%
o 607838
 
5.3%
r 458366
 
4.0%
d 386067
 
3.4%
Other values (64) 3410861
30.0%

Violation Memo - 3
Text

Missing 

Distinct13499
Distinct (%)49.4%
Missing19913
Missing (%)42.2%
Memory size3.3 MiB
2025-04-10T20:09:39.050463image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length1615
Median length331
Mean length47.766608
Min length2

Characters and Unicode

Total characters1304315
Distinct characters96
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3805 ?
Unique (%)13.9%

Sample

1st rowObserved frozen berries and chicken patties thawing in bags on prep table at ambient temperature. When thawing foods, use refrigeration or completely submerge under cool running water
2nd rowMust datemark items held longer than 24 hrs for no more than 7 days.
3rd rowprovide health permit
4th rowClean floor of beer WIC
5th rowobserved raw chicken store next to raw meat, sausage raw turkey store next to raw meat
ValueCountFrequency (%)
in 6803
 
3.1%
food 4862
 
2.2%
on 4480
 
2.1%
observed 4210
 
1.9%
clean 3987
 
1.8%
of 3595
 
1.6%
and 3489
 
1.6%
the 3263
 
1.5%
provide 3077
 
1.4%
to 2889
 
1.3%
Other values (5127) 177833
81.4%
2025-04-10T20:09:39.732706image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
199205
 
15.3%
e 101488
 
7.8%
o 70430
 
5.4%
a 60181
 
4.6%
n 58900
 
4.5%
r 57013
 
4.4%
i 56905
 
4.4%
t 55798
 
4.3%
s 53232
 
4.1%
d 38163
 
2.9%
Other values (86) 553000
42.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1304315
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
199205
 
15.3%
e 101488
 
7.8%
o 70430
 
5.4%
a 60181
 
4.6%
n 58900
 
4.5%
r 57013
 
4.4%
i 56905
 
4.4%
t 55798
 
4.3%
s 53232
 
4.1%
d 38163
 
2.9%
Other values (86) 553000
42.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1304315
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
199205
 
15.3%
e 101488
 
7.8%
o 70430
 
5.4%
a 60181
 
4.6%
n 58900
 
4.5%
r 57013
 
4.4%
i 56905
 
4.4%
t 55798
 
4.3%
s 53232
 
4.1%
d 38163
 
2.9%
Other values (86) 553000
42.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1304315
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
199205
 
15.3%
e 101488
 
7.8%
o 70430
 
5.4%
a 60181
 
4.6%
n 58900
 
4.5%
r 57013
 
4.4%
i 56905
 
4.4%
t 55798
 
4.3%
s 53232
 
4.1%
d 38163
 
2.9%
Other values (86) 553000
42.4%
Distinct437
Distinct (%)1.6%
Missing20331
Missing (%)43.1%
Memory size3.3 MiB
2025-04-10T20:09:40.135737image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length91
Mean length44.165315
Min length12

Characters and Unicode

Total characters1187517
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)0.2%

Sample

1st row*28 Date marking > 24 hrs,on site,temp 41F
2nd row*39 In-use utensils, between-use storage. During pauses in food preparation or dispensing, food prep
3rd row*47 Other Violations
4th row*45 Premises shall be maintained in good repair
5th row*45Floor, wall, ceiling - Exposed material
ValueCountFrequency (%)
food 6855
 
3.6%
5955
 
3.2%
in 3379
 
1.8%
42 2668
 
1.4%
dirty 2560
 
1.4%
or 2538
 
1.3%
and 2395
 
1.3%
of 2201
 
1.2%
the 2162
 
1.1%
good 2155
 
1.1%
Other values (1009) 155350
82.5%
2025-04-10T20:09:41.014236image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164105
13.8%
e 94019
 
7.9%
o 85986
 
7.2%
i 73773
 
6.2%
n 72212
 
6.1%
t 70078
 
5.9%
s 60580
 
5.1%
a 60049
 
5.1%
r 55258
 
4.7%
d 41824
 
3.5%
Other values (71) 409633
34.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1187517
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
164105
13.8%
e 94019
 
7.9%
o 85986
 
7.2%
i 73773
 
6.2%
n 72212
 
6.1%
t 70078
 
5.9%
s 60580
 
5.1%
a 60049
 
5.1%
r 55258
 
4.7%
d 41824
 
3.5%
Other values (71) 409633
34.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1187517
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
164105
13.8%
e 94019
 
7.9%
o 85986
 
7.2%
i 73773
 
6.2%
n 72212
 
6.1%
t 70078
 
5.9%
s 60580
 
5.1%
a 60049
 
5.1%
r 55258
 
4.7%
d 41824
 
3.5%
Other values (71) 409633
34.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1187517
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
164105
13.8%
e 94019
 
7.9%
o 85986
 
7.2%
i 73773
 
6.2%
n 72212
 
6.1%
t 70078
 
5.9%
s 60580
 
5.1%
a 60049
 
5.1%
r 55258
 
4.7%
d 41824
 
3.5%
Other values (71) 409633
34.5%

Violation Points - 4
Categorical

High correlation  Missing 

Distinct3
Distinct (%)< 0.1%
Missing20331
Missing (%)43.1%
Memory size2.8 MiB
1.0
14324 
2.0
7935 
3.0
4629 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters80664
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 14324
30.3%
2.0 7935
 
16.8%
3.0 4629
 
9.8%
(Missing) 20331
43.1%

Length

2025-04-10T20:09:41.275868image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:09:41.450433image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 14324
53.3%
2.0 7935
29.5%
3.0 4629
 
17.2%

Most occurring characters

ValueCountFrequency (%)
. 26888
33.3%
0 26888
33.3%
1 14324
17.8%
2 7935
 
9.8%
3 4629
 
5.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 80664
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 26888
33.3%
0 26888
33.3%
1 14324
17.8%
2 7935
 
9.8%
3 4629
 
5.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 80664
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 26888
33.3%
0 26888
33.3%
1 14324
17.8%
2 7935
 
9.8%
3 4629
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 80664
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 26888
33.3%
0 26888
33.3%
1 14324
17.8%
2 7935
 
9.8%
3 4629
 
5.7%

Violation Detail - 4
Text

Missing 

Distinct443
Distinct (%)1.7%
Missing20788
Missing (%)44.0%
Memory size12.4 MiB
2025-04-10T20:09:41.851429image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length910
Median length724
Mean length353.12902
Min length125

Characters and Unicode

Total characters9333553
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)0.2%

Sample

1st row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
2nd row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (b) In-use utensils, between-use storage. During pauses in food preparation or dispensing, food preparation and dispensing utensils shall be stored: (1) except as specified in subsection (a) of this section, in the food with their handles above the top of the food and the container;
3rd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
4th row(c) Floors, walls, and ceilings. (1) A food establishment containing a food handling area, food processing area, food preparation area, food storage area, equipment or utensil washing area, walk-in refrigerating unit, dressing room, locker room, toilet room, or vestibule shall: (C) prevent exposed construction in these areas, including but not limited to the exposure of pipes, conduits, ductwork, studs, joists, and rafters;
5th row228.223 REQUIREMENTS APPLICABLE TO CERTAIN ESTABLISHMENTS Bed and Breakfast . (h) Equipment and utensil design and construction. All equipment and utensils shall be constructed of safe materials and maintained in good repair.
ValueCountFrequency (%)
and 69487
 
5.4%
food 53143
 
4.1%
of 45702
 
3.6%
the 42802
 
3.3%
a 35672
 
2.8%
shall 29660
 
2.3%
in 28382
 
2.2%
equipment 26605
 
2.1%
be 26360
 
2.1%
or 21154
 
1.6%
Other values (2206) 905868
70.5%
2025-04-10T20:09:42.605524image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1900203
20.4%
e 799408
 
8.6%
i 546280
 
5.9%
n 539674
 
5.8%
a 537683
 
5.8%
t 525647
 
5.6%
s 505021
 
5.4%
o 498305
 
5.3%
r 373598
 
4.0%
d 313836
 
3.4%
Other values (64) 2793898
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 9333553
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1900203
20.4%
e 799408
 
8.6%
i 546280
 
5.9%
n 539674
 
5.8%
a 537683
 
5.8%
t 525647
 
5.6%
s 505021
 
5.4%
o 498305
 
5.3%
r 373598
 
4.0%
d 313836
 
3.4%
Other values (64) 2793898
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 9333553
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1900203
20.4%
e 799408
 
8.6%
i 546280
 
5.9%
n 539674
 
5.8%
a 537683
 
5.8%
t 525647
 
5.6%
s 505021
 
5.4%
o 498305
 
5.3%
r 373598
 
4.0%
d 313836
 
3.4%
Other values (64) 2793898
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 9333553
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1900203
20.4%
e 799408
 
8.6%
i 546280
 
5.9%
n 539674
 
5.8%
a 537683
 
5.8%
t 525647
 
5.6%
s 505021
 
5.4%
o 498305
 
5.3%
r 373598
 
4.0%
d 313836
 
3.4%
Other values (64) 2793898
29.9%

Violation Memo - 4
Text

Missing 

Distinct11432
Distinct (%)50.3%
Missing24473
Missing (%)51.8%
Memory size3.0 MiB
2025-04-10T20:09:43.036302image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length1312
Median length262
Mean length46.974193
Min length1

Characters and Unicode

Total characters1068475
Distinct characters92
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3266 ?
Unique (%)14.4%

Sample

1st rowProvide date marking for the chicken and ham
2nd rowObserved scoop handle touching food.
3rd rowPost proper signage
4th rowRepair/Replace ceiling tiles
5th rowFix the broken tiles on the baseboard
ValueCountFrequency (%)
in 6032
 
3.3%
food 4323
 
2.4%
on 3650
 
2.0%
observed 3366
 
1.9%
clean 3310
 
1.8%
and 2887
 
1.6%
the 2733
 
1.5%
of 2679
 
1.5%
provide 2660
 
1.5%
to 2248
 
1.2%
Other values (4549) 146385
81.2%
2025-04-10T20:09:43.744105image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
162875
 
15.2%
e 82588
 
7.7%
o 59178
 
5.5%
a 49024
 
4.6%
n 48689
 
4.6%
r 47525
 
4.4%
i 45982
 
4.3%
t 45510
 
4.3%
s 43418
 
4.1%
l 31448
 
2.9%
Other values (82) 452238
42.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1068475
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
162875
 
15.2%
e 82588
 
7.7%
o 59178
 
5.5%
a 49024
 
4.6%
n 48689
 
4.6%
r 47525
 
4.4%
i 45982
 
4.3%
t 45510
 
4.3%
s 43418
 
4.1%
l 31448
 
2.9%
Other values (82) 452238
42.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1068475
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
162875
 
15.2%
e 82588
 
7.7%
o 59178
 
5.5%
a 49024
 
4.6%
n 48689
 
4.6%
r 47525
 
4.4%
i 45982
 
4.3%
t 45510
 
4.3%
s 43418
 
4.1%
l 31448
 
2.9%
Other values (82) 452238
42.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1068475
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
162875
 
15.2%
e 82588
 
7.7%
o 59178
 
5.5%
a 49024
 
4.6%
n 48689
 
4.6%
r 47525
 
4.4%
i 45982
 
4.3%
t 45510
 
4.3%
s 43418
 
4.1%
l 31448
 
2.9%
Other values (82) 452238
42.3%
Distinct404
Distinct (%)1.8%
Missing25327
Missing (%)53.6%
Memory size2.9 MiB
2025-04-10T20:09:44.180299image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length89
Mean length45.068198
Min length12

Characters and Unicode

Total characters986633
Distinct characters83
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)0.2%

Sample

1st row*03 Food products not maintained at 135øF or above
2nd row*02 Cold Hold (41øF/45øF or below)
3rd row*42 Dirty nonfood contact surfaces
4th row*43 Clean vent syst:Intake/exhaust air ducts
5th row*28 Date marking > 24 hrs,on site,temp 41F
ValueCountFrequency (%)
food 5926
 
3.8%
4608
 
3.0%
in 2817
 
1.8%
or 2286
 
1.5%
42 2148
 
1.4%
dirty 2049
 
1.3%
and 1980
 
1.3%
of 1976
 
1.3%
the 1942
 
1.2%
equipment 1922
 
1.2%
Other values (948) 127903
82.2%
2025-04-10T20:09:44.890645image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135887
13.8%
e 78218
 
7.9%
o 72437
 
7.3%
i 61901
 
6.3%
n 60755
 
6.2%
t 58149
 
5.9%
s 50839
 
5.2%
a 50133
 
5.1%
r 45951
 
4.7%
d 34655
 
3.5%
Other values (73) 337708
34.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 986633
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
135887
13.8%
e 78218
 
7.9%
o 72437
 
7.3%
i 61901
 
6.3%
n 60755
 
6.2%
t 58149
 
5.9%
s 50839
 
5.2%
a 50133
 
5.1%
r 45951
 
4.7%
d 34655
 
3.5%
Other values (73) 337708
34.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 986633
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
135887
13.8%
e 78218
 
7.9%
o 72437
 
7.3%
i 61901
 
6.3%
n 60755
 
6.2%
t 58149
 
5.9%
s 50839
 
5.2%
a 50133
 
5.1%
r 45951
 
4.7%
d 34655
 
3.5%
Other values (73) 337708
34.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 986633
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
135887
13.8%
e 78218
 
7.9%
o 72437
 
7.3%
i 61901
 
6.3%
n 60755
 
6.2%
t 58149
 
5.9%
s 50839
 
5.2%
a 50133
 
5.1%
r 45951
 
4.7%
d 34655
 
3.5%
Other values (73) 337708
34.2%

Violation Points - 5
Categorical

High correlation  Missing 

Distinct4
Distinct (%)< 0.1%
Missing25327
Missing (%)53.6%
Memory size2.8 MiB
1.0
12345 
2.0
5952 
3.0
3593 
4.0
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters65676
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 12345
26.1%
2.0 5952
 
12.6%
3.0 3593
 
7.6%
4.0 2
 
< 0.1%
(Missing) 25327
53.6%

Length

2025-04-10T20:09:45.145743image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:09:45.340614image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 12345
56.4%
2.0 5952
27.2%
3.0 3593
 
16.4%
4.0 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 21892
33.3%
0 21892
33.3%
1 12345
18.8%
2 5952
 
9.1%
3 3593
 
5.5%
4 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 65676
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 21892
33.3%
0 21892
33.3%
1 12345
18.8%
2 5952
 
9.1%
3 3593
 
5.5%
4 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 65676
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 21892
33.3%
0 21892
33.3%
1 12345
18.8%
2 5952
 
9.1%
3 3593
 
5.5%
4 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 65676
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 21892
33.3%
0 21892
33.3%
1 12345
18.8%
2 5952
 
9.1%
3 3593
 
5.5%
4 2
 
< 0.1%

Violation Detail - 5
Text

Missing 

Distinct410
Distinct (%)1.9%
Missing25724
Missing (%)54.5%
Memory size10.4 MiB
2025-04-10T20:09:45.680555image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length895
Median length684
Mean length353.62675
Min length125

Characters and Unicode

Total characters7601207
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)0.2%

Sample

1st row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit);
2nd row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
3rd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
4th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.
5th row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
ValueCountFrequency (%)
and 57255
 
5.5%
food 42682
 
4.1%
of 37413
 
3.6%
the 34605
 
3.3%
a 28591
 
2.7%
shall 24142
 
2.3%
in 22950
 
2.2%
equipment 21865
 
2.1%
be 21682
 
2.1%
or 17812
 
1.7%
Other values (2088) 735564
70.4%
2025-04-10T20:09:46.360653image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1555509
20.5%
e 645531
 
8.5%
i 445435
 
5.9%
n 441795
 
5.8%
a 438787
 
5.8%
t 428094
 
5.6%
s 410965
 
5.4%
o 408930
 
5.4%
r 302025
 
4.0%
d 254296
 
3.3%
Other values (65) 2269840
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7601207
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1555509
20.5%
e 645531
 
8.5%
i 445435
 
5.9%
n 441795
 
5.8%
a 438787
 
5.8%
t 428094
 
5.6%
s 410965
 
5.4%
o 408930
 
5.4%
r 302025
 
4.0%
d 254296
 
3.3%
Other values (65) 2269840
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7601207
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1555509
20.5%
e 645531
 
8.5%
i 445435
 
5.9%
n 441795
 
5.8%
a 438787
 
5.8%
t 428094
 
5.6%
s 410965
 
5.4%
o 408930
 
5.4%
r 302025
 
4.0%
d 254296
 
3.3%
Other values (65) 2269840
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7601207
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1555509
20.5%
e 645531
 
8.5%
i 445435
 
5.9%
n 441795
 
5.8%
a 438787
 
5.8%
t 428094
 
5.6%
s 410965
 
5.4%
o 408930
 
5.4%
r 302025
 
4.0%
d 254296
 
3.3%
Other values (65) 2269840
29.9%

Violation Memo - 5
Text

Missing 

Distinct9490
Distinct (%)51.1%
Missing28635
Missing (%)60.6%
Memory size2.7 MiB
2025-04-10T20:09:46.810629image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length1823
Median length237
Mean length47.090562
Min length2

Characters and Unicode

Total characters875131
Distinct characters90
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2785 ?
Unique (%)15.0%

Sample

1st rowBrisket : 131'f
2nd rowraw egg 55'f
3rd rowclearly date mark tcs food for 7 days only
4th rowREACH IN FREEZER BOTTOM IN NEED OF CLEANING
5th rowHeimlich maneuver sign SEC. 17-11.2. ADDITIONAL REQUIREMENTS. (a) General. All food establishments that provide dining areas shall post the Heimlich maneuver sign in a place conspicuous to employees and customers. (b) Specifications: The sign shall: (1) be no smaller than 11 inches wide by 17 inches long; (2) be printed in English and Spanish and in at least two conspicuous contrasting colors on a white background; (3) provide major title and figure blocks in contrasting color to remaining copy blocks; (4) provide major headings with a minimum bold 72 point font; (5) provide initial subheadings with a minimum bold italic 60 point font; (6) provide secondary subheadings with a minimum bold 24 point font; and (7) provide a body copy in bold 14 point font.
ValueCountFrequency (%)
in 4975
 
3.4%
food 3503
 
2.4%
on 2851
 
1.9%
observed 2742
 
1.9%
clean 2727
 
1.9%
and 2442
 
1.7%
provide 2245
 
1.5%
of 2207
 
1.5%
the 2169
 
1.5%
to 1775
 
1.2%
Other values (4034) 119132
81.2%
2025-04-10T20:09:47.575805image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132727
 
15.2%
e 67720
 
7.7%
o 48645
 
5.6%
n 39927
 
4.6%
a 39868
 
4.6%
r 39122
 
4.5%
i 37777
 
4.3%
t 37177
 
4.2%
s 35537
 
4.1%
d 25504
 
2.9%
Other values (80) 371127
42.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 875131
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
132727
 
15.2%
e 67720
 
7.7%
o 48645
 
5.6%
n 39927
 
4.6%
a 39868
 
4.6%
r 39122
 
4.5%
i 37777
 
4.3%
t 37177
 
4.2%
s 35537
 
4.1%
d 25504
 
2.9%
Other values (80) 371127
42.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 875131
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
132727
 
15.2%
e 67720
 
7.7%
o 48645
 
5.6%
n 39927
 
4.6%
a 39868
 
4.6%
r 39122
 
4.5%
i 37777
 
4.3%
t 37177
 
4.2%
s 35537
 
4.1%
d 25504
 
2.9%
Other values (80) 371127
42.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 875131
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
132727
 
15.2%
e 67720
 
7.7%
o 48645
 
5.6%
n 39927
 
4.6%
a 39868
 
4.6%
r 39122
 
4.5%
i 37777
 
4.3%
t 37177
 
4.2%
s 35537
 
4.1%
d 25504
 
2.9%
Other values (80) 371127
42.4%
Distinct391
Distinct (%)2.2%
Missing29560
Missing (%)62.6%
Memory size2.7 MiB
2025-04-10T20:09:48.010360image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length84
Mean length45.342941
Min length12

Characters and Unicode

Total characters800711
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)0.2%

Sample

1st row*32 Damaged Equipment
2nd row*37 Storing the food where it is not exposed to splash, dust, or other contamination
3rd row*39 In-use utensils, between-use storage. During pauses in food preparation or dispensing, food prep
4th row*28 Do not exceed manuf. use by date
5th row*47 Handler-Certificate Not on site
ValueCountFrequency (%)
food 5053
 
4.0%
3475
 
2.8%
in 2279
 
1.8%
or 1860
 
1.5%
42 1715
 
1.4%
dirty 1625
 
1.3%
of 1584
 
1.3%
and 1567
 
1.2%
equipment 1525
 
1.2%
the 1506
 
1.2%
Other values (937) 103631
82.4%
2025-04-10T20:09:48.752591image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110085
13.7%
e 64089
 
8.0%
o 59497
 
7.4%
i 50038
 
6.2%
n 49450
 
6.2%
t 47169
 
5.9%
s 41893
 
5.2%
a 39778
 
5.0%
r 37752
 
4.7%
d 28342
 
3.5%
Other values (71) 272618
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 800711
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
110085
13.7%
e 64089
 
8.0%
o 59497
 
7.4%
i 50038
 
6.2%
n 49450
 
6.2%
t 47169
 
5.9%
s 41893
 
5.2%
a 39778
 
5.0%
r 37752
 
4.7%
d 28342
 
3.5%
Other values (71) 272618
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 800711
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
110085
13.7%
e 64089
 
8.0%
o 59497
 
7.4%
i 50038
 
6.2%
n 49450
 
6.2%
t 47169
 
5.9%
s 41893
 
5.2%
a 39778
 
5.0%
r 37752
 
4.7%
d 28342
 
3.5%
Other values (71) 272618
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 800711
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
110085
13.7%
e 64089
 
8.0%
o 59497
 
7.4%
i 50038
 
6.2%
n 49450
 
6.2%
t 47169
 
5.9%
s 41893
 
5.2%
a 39778
 
5.0%
r 37752
 
4.7%
d 28342
 
3.5%
Other values (71) 272618
34.0%

Violation Points - 6
Categorical

High correlation  Missing 

Distinct3
Distinct (%)< 0.1%
Missing29560
Missing (%)62.6%
Memory size2.8 MiB
1.0
10407 
2.0
4367 
3.0
2885 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters52977
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 10407
 
22.0%
2.0 4367
 
9.2%
3.0 2885
 
6.1%
(Missing) 29560
62.6%

Length

2025-04-10T20:09:49.025541image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:09:49.225853image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 10407
58.9%
2.0 4367
24.7%
3.0 2885
 
16.3%

Most occurring characters

ValueCountFrequency (%)
. 17659
33.3%
0 17659
33.3%
1 10407
19.6%
2 4367
 
8.2%
3 2885
 
5.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 52977
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 17659
33.3%
0 17659
33.3%
1 10407
19.6%
2 4367
 
8.2%
3 2885
 
5.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 52977
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 17659
33.3%
0 17659
33.3%
1 10407
19.6%
2 4367
 
8.2%
3 2885
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 52977
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 17659
33.3%
0 17659
33.3%
1 10407
19.6%
2 4367
 
8.2%
3 2885
 
5.4%

Violation Detail - 6
Text

Missing 

Distinct395
Distinct (%)2.3%
Missing29887
Missing (%)63.3%
Memory size8.7 MiB
2025-04-10T20:09:49.573593image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length1018
Median length701
Mean length355.10789
Min length125

Characters and Unicode

Total characters6154730
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)0.2%

Sample

1st row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;
2nd row228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (B) where it is not exposed to splash, dust, or other contamination; and
3rd row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (b) In-use utensils, between-use storage. During pauses in food preparation or dispensing, food preparation and dispensing utensils shall be stored: (6) in a container of water if the water is maintained at a temperature of at least 57 degrees Celsius (135 degrees Fahrenheit) and the container is cleaned at a frequency specified in õ228.114(a)(4)(G) of this title.
4th row228.75 Food. Time and temperature control. (g) Ready-to-eat TCS food, date marking. (4) A date marking system that meets the criteria stated in paragraphs (1) and (2) of this subsection may include: (B) marking the date or day of preparation, with a procedure to discard the food on or before the last date or day by which the food must be consumed on the premises, sold, or discarded as specified in paragraph (1) of this subsection;
5th rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (e) The food establishment shall maintain on premises a certificate of completion of the food handler training course for each food employee. The requirement to complete a food handler training course shall be effective September 1, 2016.
ValueCountFrequency (%)
and 47013
 
5.6%
food 34624
 
4.1%
of 30082
 
3.6%
the 27309
 
3.2%
a 22949
 
2.7%
shall 19434
 
2.3%
in 18508
 
2.2%
equipment 17809
 
2.1%
be 17608
 
2.1%
or 14180
 
1.7%
Other values (2061) 596372
70.5%
2025-04-10T20:09:50.250439image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1261338
20.5%
e 521773
 
8.5%
i 361447
 
5.9%
n 359430
 
5.8%
a 353139
 
5.7%
t 346393
 
5.6%
s 333566
 
5.4%
o 332397
 
5.4%
r 243291
 
4.0%
d 205749
 
3.3%
Other values (64) 1836207
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6154730
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1261338
20.5%
e 521773
 
8.5%
i 361447
 
5.9%
n 359430
 
5.8%
a 353139
 
5.7%
t 346393
 
5.6%
s 333566
 
5.4%
o 332397
 
5.4%
r 243291
 
4.0%
d 205749
 
3.3%
Other values (64) 1836207
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6154730
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1261338
20.5%
e 521773
 
8.5%
i 361447
 
5.9%
n 359430
 
5.8%
a 353139
 
5.7%
t 346393
 
5.6%
s 333566
 
5.4%
o 332397
 
5.4%
r 243291
 
4.0%
d 205749
 
3.3%
Other values (64) 1836207
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6154730
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1261338
20.5%
e 521773
 
8.5%
i 361447
 
5.9%
n 359430
 
5.8%
a 353139
 
5.7%
t 346393
 
5.6%
s 333566
 
5.4%
o 332397
 
5.4%
r 243291
 
4.0%
d 205749
 
3.3%
Other values (64) 1836207
29.8%

Violation Memo - 6
Text

Missing 

Distinct7657
Distinct (%)50.9%
Missing32163
Missing (%)68.1%
Memory size2.5 MiB
2025-04-10T20:09:50.690449image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length845
Median length253
Mean length46.938895
Min length2

Characters and Unicode

Total characters706712
Distinct characters91
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2214 ?
Unique (%)14.7%

Sample

1st rowobserved broken panel of the cooler's wall, door, gasket of ric
2nd rowA FEW COOKED FOOD ITEMS NOT DATE MARKED
3rd rowsweat tea container left uncovered.
4th rowobserved damaged wall tile in restroom, repair.
5th rowKeep RFSM on site
ValueCountFrequency (%)
in 4059
 
3.4%
food 3004
 
2.5%
clean 2407
 
2.0%
observed 2392
 
2.0%
on 2286
 
1.9%
and 2054
 
1.7%
the 1831
 
1.5%
provide 1776
 
1.5%
of 1718
 
1.4%
to 1472
 
1.2%
Other values (3653) 95933
80.7%
2025-04-10T20:09:51.400421image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106167
 
15.0%
e 55004
 
7.8%
o 39447
 
5.6%
n 32278
 
4.6%
r 31974
 
4.5%
a 31848
 
4.5%
i 30438
 
4.3%
t 30088
 
4.3%
s 28795
 
4.1%
d 21116
 
3.0%
Other values (81) 299557
42.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 706712
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
106167
 
15.0%
e 55004
 
7.8%
o 39447
 
5.6%
n 32278
 
4.6%
r 31974
 
4.5%
a 31848
 
4.5%
i 30438
 
4.3%
t 30088
 
4.3%
s 28795
 
4.1%
d 21116
 
3.0%
Other values (81) 299557
42.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 706712
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
106167
 
15.0%
e 55004
 
7.8%
o 39447
 
5.6%
n 32278
 
4.6%
r 31974
 
4.5%
a 31848
 
4.5%
i 30438
 
4.3%
t 30088
 
4.3%
s 28795
 
4.1%
d 21116
 
3.0%
Other values (81) 299557
42.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 706712
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
106167
 
15.0%
e 55004
 
7.8%
o 39447
 
5.6%
n 32278
 
4.6%
r 31974
 
4.5%
a 31848
 
4.5%
i 30438
 
4.3%
t 30088
 
4.3%
s 28795
 
4.1%
d 21116
 
3.0%
Other values (81) 299557
42.4%
Distinct374
Distinct (%)2.7%
Missing33235
Missing (%)70.4%
Memory size2.4 MiB
2025-04-10T20:09:51.775771image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length82
Mean length45.28218
Min length12

Characters and Unicode

Total characters633226
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)0.3%

Sample

1st row*34 Pest Control
2nd row*10 Clean Sight and Touch
3rd row*38 Thawing. under running water criteria (70 degrees Fahrenheit) or below;
4th row*22 Accredited food handler certificate - 60 days
5th row*31 Individual, disposable towels
ValueCountFrequency (%)
food 3941
 
4.0%
2650
 
2.7%
in 1824
 
1.8%
or 1559
 
1.6%
42 1318
 
1.3%
of 1290
 
1.3%
the 1233
 
1.2%
dirty 1225
 
1.2%
and 1178
 
1.2%
equipment 1134
 
1.1%
Other values (886) 82418
82.6%
2025-04-10T20:09:52.470501image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87308
13.8%
e 51059
 
8.1%
o 46739
 
7.4%
i 39727
 
6.3%
n 39035
 
6.2%
t 37162
 
5.9%
s 33223
 
5.2%
a 31647
 
5.0%
r 29928
 
4.7%
d 22153
 
3.5%
Other values (71) 215245
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 633226
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
87308
13.8%
e 51059
 
8.1%
o 46739
 
7.4%
i 39727
 
6.3%
n 39035
 
6.2%
t 37162
 
5.9%
s 33223
 
5.2%
a 31647
 
5.0%
r 29928
 
4.7%
d 22153
 
3.5%
Other values (71) 215245
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 633226
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
87308
13.8%
e 51059
 
8.1%
o 46739
 
7.4%
i 39727
 
6.3%
n 39035
 
6.2%
t 37162
 
5.9%
s 33223
 
5.2%
a 31647
 
5.0%
r 29928
 
4.7%
d 22153
 
3.5%
Other values (71) 215245
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 633226
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
87308
13.8%
e 51059
 
8.1%
o 46739
 
7.4%
i 39727
 
6.3%
n 39035
 
6.2%
t 37162
 
5.9%
s 33223
 
5.2%
a 31647
 
5.0%
r 29928
 
4.7%
d 22153
 
3.5%
Other values (71) 215245
34.0%

Violation Points - 7
Categorical

High correlation  Missing 

Distinct3
Distinct (%)< 0.1%
Missing33235
Missing (%)70.4%
Memory size2.8 MiB
1.0
8456 
2.0
3151 
3.0
2377 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters41952
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 8456
 
17.9%
2.0 3151
 
6.7%
3.0 2377
 
5.0%
(Missing) 33235
70.4%

Length

2025-04-10T20:09:52.713594image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:09:52.900609image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 8456
60.5%
2.0 3151
 
22.5%
3.0 2377
 
17.0%

Most occurring characters

ValueCountFrequency (%)
. 13984
33.3%
0 13984
33.3%
1 8456
20.2%
2 3151
 
7.5%
3 2377
 
5.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 41952
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 13984
33.3%
0 13984
33.3%
1 8456
20.2%
2 3151
 
7.5%
3 2377
 
5.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 41952
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 13984
33.3%
0 13984
33.3%
1 8456
20.2%
2 3151
 
7.5%
3 2377
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 41952
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 13984
33.3%
0 13984
33.3%
1 8456
20.2%
2 3151
 
7.5%
3 2377
 
5.7%

Violation Detail - 7
Text

Missing 

Distinct378
Distinct (%)2.8%
Missing33550
Missing (%)71.1%
Memory size7.2 MiB
2025-04-10T20:09:53.250636image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length1018
Median length691
Mean length353.87219
Min length125

Characters and Unicode

Total characters4837079
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)0.3%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to minimize their presence within the physical facility and its contents, and on the contiguous land or property under the control of the permit holder by: (1) Routinely inspecting incoming shipments of food and supplies;
2nd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
3rd row228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water: (A) at a water temperature of 21 degrees Celsius (70 degrees Fahrenheit) or below;
4th rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.
5th row228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;
ValueCountFrequency (%)
and 36850
 
5.5%
food 26761
 
4.0%
of 23124
 
3.5%
the 21475
 
3.2%
a 17869
 
2.7%
shall 15423
 
2.3%
in 14481
 
2.2%
equipment 14089
 
2.1%
be 13743
 
2.1%
or 11408
 
1.7%
Other values (1989) 469072
70.6%
2025-04-10T20:09:53.925788image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
989924
20.5%
e 411154
 
8.5%
i 285113
 
5.9%
n 283939
 
5.9%
a 278169
 
5.8%
t 271144
 
5.6%
s 263599
 
5.4%
o 260266
 
5.4%
r 191779
 
4.0%
d 160552
 
3.3%
Other values (64) 1441440
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4837079
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
989924
20.5%
e 411154
 
8.5%
i 285113
 
5.9%
n 283939
 
5.9%
a 278169
 
5.8%
t 271144
 
5.6%
s 263599
 
5.4%
o 260266
 
5.4%
r 191779
 
4.0%
d 160552
 
3.3%
Other values (64) 1441440
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4837079
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
989924
20.5%
e 411154
 
8.5%
i 285113
 
5.9%
n 283939
 
5.9%
a 278169
 
5.8%
t 271144
 
5.6%
s 263599
 
5.4%
o 260266
 
5.4%
r 191779
 
4.0%
d 160552
 
3.3%
Other values (64) 1441440
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4837079
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
989924
20.5%
e 411154
 
8.5%
i 285113
 
5.9%
n 283939
 
5.9%
a 278169
 
5.8%
t 271144
 
5.6%
s 263599
 
5.4%
o 260266
 
5.4%
r 191779
 
4.0%
d 160552
 
3.3%
Other values (64) 1441440
29.8%

Violation Memo - 7
Text

Missing 

Distinct6166
Distinct (%)51.4%
Missing35233
Missing (%)74.6%
Memory size2.3 MiB
2025-04-10T20:09:54.336636image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length1837
Median length223
Mean length47.724512
Min length2

Characters and Unicode

Total characters572026
Distinct characters89
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1842 ?
Unique (%)15.4%

Sample

1st rowobserved cockroach on the 3 comp sink
2nd rowClean surfaces in contact with clean plates
3rd rowFROZEN THAWED FOOD( NOT UNDER RUNNING WATER )
4th rowemployees working in kitchen do not have texas food handler cards, provide.
5th rowno available towels in restroom, provide.
ValueCountFrequency (%)
in 3165
 
3.3%
food 2380
 
2.5%
clean 1843
 
1.9%
on 1799
 
1.9%
observed 1771
 
1.9%
and 1649
 
1.7%
provide 1486
 
1.6%
the 1333
 
1.4%
of 1297
 
1.4%
to 1187
 
1.2%
Other values (3188) 77226
81.2%
2025-04-10T20:09:55.216681image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87867
 
15.4%
e 43341
 
7.6%
o 31803
 
5.6%
n 26256
 
4.6%
a 25744
 
4.5%
r 25066
 
4.4%
i 24367
 
4.3%
t 24107
 
4.2%
s 23675
 
4.1%
d 16791
 
2.9%
Other values (79) 243009
42.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 572026
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
87867
 
15.4%
e 43341
 
7.6%
o 31803
 
5.6%
n 26256
 
4.6%
a 25744
 
4.5%
r 25066
 
4.4%
i 24367
 
4.3%
t 24107
 
4.2%
s 23675
 
4.1%
d 16791
 
2.9%
Other values (79) 243009
42.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 572026
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
87867
 
15.4%
e 43341
 
7.6%
o 31803
 
5.6%
n 26256
 
4.6%
a 25744
 
4.5%
r 25066
 
4.4%
i 24367
 
4.3%
t 24107
 
4.2%
s 23675
 
4.1%
d 16791
 
2.9%
Other values (79) 243009
42.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 572026
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
87867
 
15.4%
e 43341
 
7.6%
o 31803
 
5.6%
n 26256
 
4.6%
a 25744
 
4.5%
r 25066
 
4.4%
i 24367
 
4.3%
t 24107
 
4.2%
s 23675
 
4.1%
d 16791
 
2.9%
Other values (79) 243009
42.5%
Distinct327
Distinct (%)3.0%
Missing36374
Missing (%)77.0%
Memory size2.2 MiB
2025-04-10T20:09:55.624581image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length83
Mean length45.259474
Min length12

Characters and Unicode

Total characters490839
Distinct characters80
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)0.4%

Sample

1st row*21 RFSM - Not On Site
2nd row*45 Drying Mops-air dry
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*31 Handwashing lavatory - accessible
5th row*31 Individual, disposable towels
ValueCountFrequency (%)
food 3151
 
4.1%
2067
 
2.7%
in 1458
 
1.9%
42 1137
 
1.5%
or 1133
 
1.5%
dirty 1077
 
1.4%
of 1022
 
1.3%
the 981
 
1.3%
and 875
 
1.1%
47 874
 
1.1%
Other values (810) 63368
82.1%
2025-04-10T20:09:56.283387image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67530
13.8%
e 39121
 
8.0%
o 36778
 
7.5%
i 30686
 
6.3%
n 30575
 
6.2%
t 28912
 
5.9%
s 25827
 
5.3%
a 24554
 
5.0%
r 23013
 
4.7%
d 17224
 
3.5%
Other values (70) 166619
33.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 490839
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
67530
13.8%
e 39121
 
8.0%
o 36778
 
7.5%
i 30686
 
6.3%
n 30575
 
6.2%
t 28912
 
5.9%
s 25827
 
5.3%
a 24554
 
5.0%
r 23013
 
4.7%
d 17224
 
3.5%
Other values (70) 166619
33.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 490839
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
67530
13.8%
e 39121
 
8.0%
o 36778
 
7.5%
i 30686
 
6.3%
n 30575
 
6.2%
t 28912
 
5.9%
s 25827
 
5.3%
a 24554
 
5.0%
r 23013
 
4.7%
d 17224
 
3.5%
Other values (70) 166619
33.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 490839
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
67530
13.8%
e 39121
 
8.0%
o 36778
 
7.5%
i 30686
 
6.3%
n 30575
 
6.2%
t 28912
 
5.9%
s 25827
 
5.3%
a 24554
 
5.0%
r 23013
 
4.7%
d 17224
 
3.5%
Other values (70) 166619
33.9%

Violation Points - 8
Categorical

High correlation  Missing 

Distinct3
Distinct (%)< 0.1%
Missing36374
Missing (%)77.0%
Memory size2.8 MiB
1.0
6694 
2.0
2424 
3.0
1727 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters32535
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 6694
 
14.2%
2.0 2424
 
5.1%
3.0 1727
 
3.7%
(Missing) 36374
77.0%

Length

2025-04-10T20:09:56.552442image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:09:56.720397image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 6694
61.7%
2.0 2424
 
22.4%
3.0 1727
 
15.9%

Most occurring characters

ValueCountFrequency (%)
. 10845
33.3%
0 10845
33.3%
1 6694
20.6%
2 2424
 
7.5%
3 1727
 
5.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 32535
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 10845
33.3%
0 10845
33.3%
1 6694
20.6%
2 2424
 
7.5%
3 1727
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 32535
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 10845
33.3%
0 10845
33.3%
1 6694
20.6%
2 2424
 
7.5%
3 1727
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 32535
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 10845
33.3%
0 10845
33.3%
1 6694
20.6%
2 2424
 
7.5%
3 1727
 
5.3%

Violation Detail - 8
Text

Missing 

Distinct332
Distinct (%)3.1%
Missing36624
Missing (%)77.6%
Memory size5.9 MiB
2025-04-10T20:09:57.080327image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length910
Median length675
Mean length351.83228
Min length125

Characters and Unicode

Total characters3727663
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)0.4%

Sample

1st rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
2nd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (f) Drying mops. After use, mops shall be placed in a position that allows them to air-dry without soiling walls, equipment, or supplies.
3rd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
4th row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (a) Using a handwashing facility. (1) A handwashing facility shall be maintained so that it is accessible at all times for employee use.
5th row228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;
ValueCountFrequency (%)
and 28254
 
5.5%
food 21578
 
4.2%
of 18335
 
3.6%
the 16156
 
3.2%
a 13724
 
2.7%
shall 11778
 
2.3%
in 11238
 
2.2%
be 10787
 
2.1%
equipment 10582
 
2.1%
or 8492
 
1.7%
Other values (1850) 361039
70.5%
2025-04-10T20:09:57.830546image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
762493
20.5%
e 315100
 
8.5%
i 220623
 
5.9%
n 217915
 
5.8%
a 213558
 
5.7%
t 208793
 
5.6%
s 202525
 
5.4%
o 202336
 
5.4%
r 146695
 
3.9%
d 123793
 
3.3%
Other values (62) 1113832
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3727663
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
762493
20.5%
e 315100
 
8.5%
i 220623
 
5.9%
n 217915
 
5.8%
a 213558
 
5.7%
t 208793
 
5.6%
s 202525
 
5.4%
o 202336
 
5.4%
r 146695
 
3.9%
d 123793
 
3.3%
Other values (62) 1113832
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3727663
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
762493
20.5%
e 315100
 
8.5%
i 220623
 
5.9%
n 217915
 
5.8%
a 213558
 
5.7%
t 208793
 
5.6%
s 202525
 
5.4%
o 202336
 
5.4%
r 146695
 
3.9%
d 123793
 
3.3%
Other values (62) 1113832
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3727663
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
762493
20.5%
e 315100
 
8.5%
i 220623
 
5.9%
n 217915
 
5.8%
a 213558
 
5.7%
t 208793
 
5.6%
s 202525
 
5.4%
o 202336
 
5.4%
r 146695
 
3.9%
d 123793
 
3.3%
Other values (62) 1113832
29.9%

Violation Memo - 8
Text

Missing 

Distinct4796
Distinct (%)51.4%
Missing37890
Missing (%)80.2%
Memory size2.1 MiB
2025-04-10T20:09:58.250986image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length1516
Median length199
Mean length47.038911
Min length2

Characters and Unicode

Total characters438826
Distinct characters88
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1440 ?
Unique (%)15.4%

Sample

1st rowRegister with city of Dallas -> Last warning will issue citation for repeat violation
2nd rowDIRTY KITCHEN FLOORS
3rd rowBLOCK WITH RACKS
4th rowProvide paper towels at all hand sinks
5th rowDAMAGED CEILING TILES DUE TO MOISTURE
ValueCountFrequency (%)
in 2479
 
3.4%
food 1865
 
2.5%
clean 1545
 
2.1%
observed 1413
 
1.9%
on 1296
 
1.8%
and 1244
 
1.7%
provide 1144
 
1.6%
all 1003
 
1.4%
the 997
 
1.4%
of 947
 
1.3%
Other values (2917) 59230
81.0%
2025-04-10T20:09:58.963559image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66139
 
15.1%
e 33568
 
7.6%
o 24116
 
5.5%
n 20098
 
4.6%
a 19802
 
4.5%
r 19055
 
4.3%
i 18603
 
4.2%
s 18460
 
4.2%
t 17969
 
4.1%
l 13067
 
3.0%
Other values (78) 187949
42.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 438826
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
66139
 
15.1%
e 33568
 
7.6%
o 24116
 
5.5%
n 20098
 
4.6%
a 19802
 
4.5%
r 19055
 
4.3%
i 18603
 
4.2%
s 18460
 
4.2%
t 17969
 
4.1%
l 13067
 
3.0%
Other values (78) 187949
42.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 438826
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
66139
 
15.1%
e 33568
 
7.6%
o 24116
 
5.5%
n 20098
 
4.6%
a 19802
 
4.5%
r 19055
 
4.3%
i 18603
 
4.2%
s 18460
 
4.2%
t 17969
 
4.1%
l 13067
 
3.0%
Other values (78) 187949
42.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 438826
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
66139
 
15.1%
e 33568
 
7.6%
o 24116
 
5.5%
n 20098
 
4.6%
a 19802
 
4.5%
r 19055
 
4.3%
i 18603
 
4.2%
s 18460
 
4.2%
t 17969
 
4.1%
l 13067
 
3.0%
Other values (78) 187949
42.8%
Distinct302
Distinct (%)3.7%
Missing38963
Missing (%)82.5%
Memory size2.0 MiB
2025-04-10T20:09:59.380276image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length84
Mean length45.000969
Min length12

Characters and Unicode

Total characters371528
Distinct characters80
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)0.5%

Sample

1st row*32 Damaged Equipment
2nd row*42 Floors/walls/ceiling/nonfood dirty
3rd row*39 Keep utensils handles upright or protected
4th row*37 Preventing contamination from other sources. Miscellaneous sources of Contamination
5th row*44 Trash can provided for papertowel waste
ValueCountFrequency (%)
food 2374
 
4.1%
1562
 
2.7%
in 1131
 
1.9%
or 871
 
1.5%
42 785
 
1.3%
of 757
 
1.3%
dirty 739
 
1.3%
45 688
 
1.2%
for 666
 
1.1%
and 660
 
1.1%
Other values (787) 47949
82.4%
2025-04-10T20:10:00.060469image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50891
13.7%
e 29807
 
8.0%
o 27547
 
7.4%
i 23552
 
6.3%
n 22775
 
6.1%
t 21695
 
5.8%
s 19455
 
5.2%
a 18695
 
5.0%
r 17553
 
4.7%
d 13170
 
3.5%
Other values (70) 126388
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 371528
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
50891
13.7%
e 29807
 
8.0%
o 27547
 
7.4%
i 23552
 
6.3%
n 22775
 
6.1%
t 21695
 
5.8%
s 19455
 
5.2%
a 18695
 
5.0%
r 17553
 
4.7%
d 13170
 
3.5%
Other values (70) 126388
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 371528
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
50891
13.7%
e 29807
 
8.0%
o 27547
 
7.4%
i 23552
 
6.3%
n 22775
 
6.1%
t 21695
 
5.8%
s 19455
 
5.2%
a 18695
 
5.0%
r 17553
 
4.7%
d 13170
 
3.5%
Other values (70) 126388
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 371528
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
50891
13.7%
e 29807
 
8.0%
o 27547
 
7.4%
i 23552
 
6.3%
n 22775
 
6.1%
t 21695
 
5.8%
s 19455
 
5.2%
a 18695
 
5.0%
r 17553
 
4.7%
d 13170
 
3.5%
Other values (70) 126388
34.0%

Violation Points - 9
Categorical

High correlation  Missing 

Distinct4
Distinct (%)< 0.1%
Missing38963
Missing (%)82.5%
Memory size2.9 MiB
1.0
5025 
2.0
1838 
3.0
1391 
4.0
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters24768
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 5025
 
10.6%
2.0 1838
 
3.9%
3.0 1391
 
2.9%
4.0 2
 
< 0.1%
(Missing) 38963
82.5%

Length

2025-04-10T20:10:00.313906image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:00.495703image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 5025
60.9%
2.0 1838
 
22.3%
3.0 1391
 
16.8%
4.0 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 8256
33.3%
0 8256
33.3%
1 5025
20.3%
2 1838
 
7.4%
3 1391
 
5.6%
4 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 24768
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 8256
33.3%
0 8256
33.3%
1 5025
20.3%
2 1838
 
7.4%
3 1391
 
5.6%
4 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 24768
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 8256
33.3%
0 8256
33.3%
1 5025
20.3%
2 1838
 
7.4%
3 1391
 
5.6%
4 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 24768
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 8256
33.3%
0 8256
33.3%
1 5025
20.3%
2 1838
 
7.4%
3 1391
 
5.6%
4 2
 
< 0.1%

Violation Detail - 9
Text

Missing 

Distinct306
Distinct (%)3.8%
Missing39152
Missing (%)82.9%
Memory size4.7 MiB
2025-04-10T20:10:00.860574image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length910
Median length639
Mean length350.77526
Min length125

Characters and Unicode

Total characters2829704
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)0.5%

Sample

1st row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;
2nd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
3rd row228.125 Preventing Contamination. (a) Kitchenware and tableware. (2) Knives, forks, and spoons that are not prewrapped shall be presented so that only the handles are touched by employees and by consumers if consumer self-service is provided.
4th row228.70 Food. Preventing contamination by consumers. (e) Preventing contamination from other sources. Miscellaneous sources of Contamination. Food shall be protected from contamination that may result from a factor or source not specified in õõ228.65 - 228.70 of this title.
5th row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (g) Storage areas, rooms, and receptacles, capacity and availability. (3) If disposable towels are used at handwashing lavatories, a waste receptacle shall be located at each lavatory or group of adjacent lavatories.
ValueCountFrequency (%)
and 21672
 
5.6%
food 16025
 
4.1%
of 13407
 
3.5%
the 12401
 
3.2%
a 10316
 
2.7%
shall 8909
 
2.3%
in 8279
 
2.1%
equipment 8016
 
2.1%
be 7997
 
2.1%
or 6568
 
1.7%
Other values (1796) 274417
70.7%
2025-04-10T20:10:01.595468image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
576720
20.4%
e 240612
 
8.5%
i 168474
 
6.0%
n 165995
 
5.9%
a 163034
 
5.8%
t 157860
 
5.6%
s 154802
 
5.5%
o 152422
 
5.4%
r 112301
 
4.0%
d 93997
 
3.3%
Other values (62) 843487
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2829704
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
576720
20.4%
e 240612
 
8.5%
i 168474
 
6.0%
n 165995
 
5.9%
a 163034
 
5.8%
t 157860
 
5.6%
s 154802
 
5.5%
o 152422
 
5.4%
r 112301
 
4.0%
d 93997
 
3.3%
Other values (62) 843487
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2829704
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
576720
20.4%
e 240612
 
8.5%
i 168474
 
6.0%
n 165995
 
5.9%
a 163034
 
5.8%
t 157860
 
5.6%
s 154802
 
5.5%
o 152422
 
5.4%
r 112301
 
4.0%
d 93997
 
3.3%
Other values (62) 843487
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2829704
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
576720
20.4%
e 240612
 
8.5%
i 168474
 
6.0%
n 165995
 
5.9%
a 163034
 
5.8%
t 157860
 
5.6%
s 154802
 
5.5%
o 152422
 
5.4%
r 112301
 
4.0%
d 93997
 
3.3%
Other values (62) 843487
29.8%

Violation Memo - 9
Text

Missing 

Distinct3739
Distinct (%)52.0%
Missing40022
Missing (%)84.8%
Memory size1.9 MiB
2025-04-10T20:10:02.000781image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length1517
Median length232
Mean length47.0264
Min length3

Characters and Unicode

Total characters338449
Distinct characters88
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1140 ?
Unique (%)15.8%

Sample

1st rowBROKEN REACH IN COOLER DOOR GASKETS
2nd rowCLEAN FLOORS & DRAINS
3rd rowObserved utensils laying inside krisp it, handle must be upright not touching food
4th rowA FOOD STORAGE CONTAINER WAS STORED DIRECTLY ON TOP OF FRESH CUT LETTUCE
5th rowstore wet cloths in sanitizer bucket
ValueCountFrequency (%)
in 1821
 
3.2%
food 1576
 
2.8%
clean 1187
 
2.1%
observed 1021
 
1.8%
and 972
 
1.7%
on 952
 
1.7%
provide 887
 
1.6%
all 722
 
1.3%
the 701
 
1.2%
of 691
 
1.2%
Other values (2598) 45718
81.3%
2025-04-10T20:10:02.735558image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50664
 
15.0%
e 25771
 
7.6%
o 18989
 
5.6%
a 15209
 
4.5%
n 15199
 
4.5%
r 15071
 
4.5%
s 14374
 
4.2%
i 14253
 
4.2%
t 13922
 
4.1%
d 10126
 
3.0%
Other values (78) 144871
42.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 338449
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
50664
 
15.0%
e 25771
 
7.6%
o 18989
 
5.6%
a 15209
 
4.5%
n 15199
 
4.5%
r 15071
 
4.5%
s 14374
 
4.2%
i 14253
 
4.2%
t 13922
 
4.1%
d 10126
 
3.0%
Other values (78) 144871
42.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 338449
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
50664
 
15.0%
e 25771
 
7.6%
o 18989
 
5.6%
a 15209
 
4.5%
n 15199
 
4.5%
r 15071
 
4.5%
s 14374
 
4.2%
i 14253
 
4.2%
t 13922
 
4.1%
d 10126
 
3.0%
Other values (78) 144871
42.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 338449
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
50664
 
15.0%
e 25771
 
7.6%
o 18989
 
5.6%
a 15209
 
4.5%
n 15199
 
4.5%
r 15071
 
4.5%
s 14374
 
4.2%
i 14253
 
4.2%
t 13922
 
4.1%
d 10126
 
3.0%
Other values (78) 144871
42.8%
Distinct283
Distinct (%)4.7%
Missing41135
Missing (%)87.1%
Memory size1.9 MiB
2025-04-10T20:10:03.105364image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length84
Mean length44.969099
Min length12

Characters and Unicode

Total characters273592
Distinct characters80
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)0.4%

Sample

1st row*45 Drying Mops-air dry
2nd row*34 Pest Control
3rd row*43 Light bulbs, light shields provided
4th row*47 Handwashing signage
5th row*47 Conditions of Permit-in use of food equipment
ValueCountFrequency (%)
food 1709
 
4.0%
1150
 
2.7%
in 849
 
2.0%
or 620
 
1.4%
of 565
 
1.3%
42 549
 
1.3%
47 537
 
1.2%
dirty 524
 
1.2%
for 514
 
1.2%
the 490
 
1.1%
Other values (728) 35584
82.6%
2025-04-10T20:10:03.745117image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37740
13.8%
e 22314
 
8.2%
o 20053
 
7.3%
i 17183
 
6.3%
n 16605
 
6.1%
t 15890
 
5.8%
s 14546
 
5.3%
a 13669
 
5.0%
r 12842
 
4.7%
d 9684
 
3.5%
Other values (70) 93066
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 273592
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
37740
13.8%
e 22314
 
8.2%
o 20053
 
7.3%
i 17183
 
6.3%
n 16605
 
6.1%
t 15890
 
5.8%
s 14546
 
5.3%
a 13669
 
5.0%
r 12842
 
4.7%
d 9684
 
3.5%
Other values (70) 93066
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 273592
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
37740
13.8%
e 22314
 
8.2%
o 20053
 
7.3%
i 17183
 
6.3%
n 16605
 
6.1%
t 15890
 
5.8%
s 14546
 
5.3%
a 13669
 
5.0%
r 12842
 
4.7%
d 9684
 
3.5%
Other values (70) 93066
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 273592
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
37740
13.8%
e 22314
 
8.2%
o 20053
 
7.3%
i 17183
 
6.3%
n 16605
 
6.1%
t 15890
 
5.8%
s 14546
 
5.3%
a 13669
 
5.0%
r 12842
 
4.7%
d 9684
 
3.5%
Other values (70) 93066
34.0%

Violation Points - 10
Categorical

High correlation  Missing 

Distinct3
Distinct (%)< 0.1%
Missing41135
Missing (%)87.1%
Memory size2.9 MiB
1.0
3662 
2.0
1378 
3.0
1044 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18252
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 3662
 
7.8%
2.0 1378
 
2.9%
3.0 1044
 
2.2%
(Missing) 41135
87.1%

Length

2025-04-10T20:10:03.990552image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:04.160331image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3662
60.2%
2.0 1378
 
22.6%
3.0 1044
 
17.2%

Most occurring characters

ValueCountFrequency (%)
. 6084
33.3%
0 6084
33.3%
1 3662
20.1%
2 1378
 
7.5%
3 1044
 
5.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 18252
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 6084
33.3%
0 6084
33.3%
1 3662
20.1%
2 1378
 
7.5%
3 1044
 
5.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 18252
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 6084
33.3%
0 6084
33.3%
1 3662
20.1%
2 1378
 
7.5%
3 1044
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 18252
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 6084
33.3%
0 6084
33.3%
1 3662
20.1%
2 1378
 
7.5%
3 1044
 
5.7%

Violation Detail - 10
Text

Missing 

Distinct290
Distinct (%)4.9%
Missing41283
Missing (%)87.4%
Memory size3.9 MiB
2025-04-10T20:10:04.504138image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length910
Median length666
Mean length353.10546
Min length125

Characters and Unicode

Total characters2096034
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)0.4%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (f) Drying mops. After use, mops shall be placed in a position that allows them to air-dry without soiling walls, equipment, or supplies.
2nd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to minimize their presence within the physical facility and its contents, and on the contiguous land or property under the control of the permit holder by: (1) Routinely inspecting incoming shipments of food and supplies;
3rd row228.174 Physical Facilities. Functionality. (a) Light bulbs, protective shielding. (1) Except as specified in paragraph (2) of this subsection, light bulbs shall be shielded, coated, or otherwise shatter-resistant in areas where there is exposed food; clean equipment, utensils, and linens; or unwrapped single-service and single-use articles.
4th row228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.
5th row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
ValueCountFrequency (%)
and 15880
 
5.5%
food 11873
 
4.1%
of 9789
 
3.4%
the 9351
 
3.2%
a 7910
 
2.7%
shall 6644
 
2.3%
in 6267
 
2.2%
be 5960
 
2.1%
equipment 5780
 
2.0%
or 4837
 
1.7%
Other values (1683) 203844
70.7%
2025-04-10T20:10:05.220425image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
428403
20.4%
e 178439
 
8.5%
i 124622
 
5.9%
n 121628
 
5.8%
a 121286
 
5.8%
t 117245
 
5.6%
s 113888
 
5.4%
o 112079
 
5.3%
r 83100
 
4.0%
d 69656
 
3.3%
Other values (62) 625688
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2096034
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
428403
20.4%
e 178439
 
8.5%
i 124622
 
5.9%
n 121628
 
5.8%
a 121286
 
5.8%
t 117245
 
5.6%
s 113888
 
5.4%
o 112079
 
5.3%
r 83100
 
4.0%
d 69656
 
3.3%
Other values (62) 625688
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2096034
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
428403
20.4%
e 178439
 
8.5%
i 124622
 
5.9%
n 121628
 
5.8%
a 121286
 
5.8%
t 117245
 
5.6%
s 113888
 
5.4%
o 112079
 
5.3%
r 83100
 
4.0%
d 69656
 
3.3%
Other values (62) 625688
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2096034
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
428403
20.4%
e 178439
 
8.5%
i 124622
 
5.9%
n 121628
 
5.8%
a 121286
 
5.8%
t 117245
 
5.6%
s 113888
 
5.4%
o 112079
 
5.3%
r 83100
 
4.0%
d 69656
 
3.3%
Other values (62) 625688
29.9%

Violation Memo - 10
Text

Missing 

Distinct2766
Distinct (%)51.8%
Missing41880
Missing (%)88.7%
Memory size1.8 MiB
2025-04-10T20:10:05.672498image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length1372
Median length206
Mean length48.131485
Min length3

Characters and Unicode

Total characters256974
Distinct characters87
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique864 ?
Unique (%)16.2%

Sample

1st rowMOP AIR DRY
2nd rowObserved gnats flying around near mop sink
3rd rowLIGHTING UNIT IN THE WALK IN COOLER IS OUT BROKEN LIGHT SHIELD IN WALK IN COOLER
4th rowprovide hand washing sign
5th rowconsumer health sign was observed flipped and not visible to customers, must be easily visible to customers.
ValueCountFrequency (%)
in 1358
 
3.2%
food 1120
 
2.6%
clean 847
 
2.0%
provide 758
 
1.8%
and 736
 
1.7%
on 727
 
1.7%
observed 695
 
1.6%
all 523
 
1.2%
the 510
 
1.2%
to 504
 
1.2%
Other values (2209) 34785
81.7%
2025-04-10T20:10:06.450116image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38733
 
15.1%
e 19329
 
7.5%
o 14280
 
5.6%
n 11702
 
4.6%
a 11612
 
4.5%
r 11385
 
4.4%
i 10925
 
4.3%
s 10866
 
4.2%
t 10609
 
4.1%
l 7608
 
3.0%
Other values (77) 109925
42.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 256974
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
38733
 
15.1%
e 19329
 
7.5%
o 14280
 
5.6%
n 11702
 
4.6%
a 11612
 
4.5%
r 11385
 
4.4%
i 10925
 
4.3%
s 10866
 
4.2%
t 10609
 
4.1%
l 7608
 
3.0%
Other values (77) 109925
42.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 256974
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
38733
 
15.1%
e 19329
 
7.5%
o 14280
 
5.6%
n 11702
 
4.6%
a 11612
 
4.5%
r 11385
 
4.4%
i 10925
 
4.3%
s 10866
 
4.2%
t 10609
 
4.1%
l 7608
 
3.0%
Other values (77) 109925
42.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 256974
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
38733
 
15.1%
e 19329
 
7.5%
o 14280
 
5.6%
n 11702
 
4.6%
a 11612
 
4.5%
r 11385
 
4.4%
i 10925
 
4.3%
s 10866
 
4.2%
t 10609
 
4.1%
l 7608
 
3.0%
Other values (77) 109925
42.8%
Distinct247
Distinct (%)5.9%
Missing43057
Missing (%)91.2%
Memory size1.7 MiB
2025-04-10T20:10:06.740140image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length83
Mean length45.355839
Min length12

Characters and Unicode

Total characters188771
Distinct characters78
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)0.6%

Sample

1st row*47 Conditions of Permit-in use of food equipment
2nd row*35 Eating food, chewing gum, drinking beverages, or using tobacco
3rd row*42 Dirty nonfood contact surfaces
4th row*32 Maintain in Good Repair
5th row*21 A establishment shall have written procedures for employees to follow when responding to vomitin
ValueCountFrequency (%)
food 1316
 
4.4%
791
 
2.7%
in 564
 
1.9%
of 506
 
1.7%
or 420
 
1.4%
47 397
 
1.3%
the 390
 
1.3%
equipment 358
 
1.2%
for 350
 
1.2%
good 347
 
1.2%
Other values (660) 24344
81.7%
2025-04-10T20:10:07.310651image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26100
13.8%
e 15488
 
8.2%
o 14012
 
7.4%
i 11804
 
6.3%
n 11419
 
6.0%
t 10869
 
5.8%
s 9849
 
5.2%
a 9502
 
5.0%
r 8885
 
4.7%
d 6700
 
3.5%
Other values (68) 64143
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 188771
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
26100
13.8%
e 15488
 
8.2%
o 14012
 
7.4%
i 11804
 
6.3%
n 11419
 
6.0%
t 10869
 
5.8%
s 9849
 
5.2%
a 9502
 
5.0%
r 8885
 
4.7%
d 6700
 
3.5%
Other values (68) 64143
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 188771
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
26100
13.8%
e 15488
 
8.2%
o 14012
 
7.4%
i 11804
 
6.3%
n 11419
 
6.0%
t 10869
 
5.8%
s 9849
 
5.2%
a 9502
 
5.0%
r 8885
 
4.7%
d 6700
 
3.5%
Other values (68) 64143
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 188771
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
26100
13.8%
e 15488
 
8.2%
o 14012
 
7.4%
i 11804
 
6.3%
n 11419
 
6.0%
t 10869
 
5.8%
s 9849
 
5.2%
a 9502
 
5.0%
r 8885
 
4.7%
d 6700
 
3.5%
Other values (68) 64143
34.0%

Violation Points - 11
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.1%
Missing43057
Missing (%)91.2%
Memory size2.9 MiB
1.0
2569 
2.0
919 
3.0
674 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters12486
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 2569
 
5.4%
2.0 919
 
1.9%
3.0 674
 
1.4%
(Missing) 43057
91.2%

Length

2025-04-10T20:10:07.548814image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:07.740504image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2569
61.7%
2.0 919
 
22.1%
3.0 674
 
16.2%

Most occurring characters

ValueCountFrequency (%)
. 4162
33.3%
0 4162
33.3%
1 2569
20.6%
2 919
 
7.4%
3 674
 
5.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 12486
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 4162
33.3%
0 4162
33.3%
1 2569
20.6%
2 919
 
7.4%
3 674
 
5.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 12486
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 4162
33.3%
0 4162
33.3%
1 2569
20.6%
2 919
 
7.4%
3 674
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 12486
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 4162
33.3%
0 4162
33.3%
1 2569
20.6%
2 919
 
7.4%
3 674
 
5.4%

Violation Detail - 11
Text

Missing 

Distinct252
Distinct (%)6.2%
Missing43163
Missing (%)91.4%
Memory size3.1 MiB
2025-04-10T20:10:08.105330image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length888
Median length598
Mean length354.17283
Min length125

Characters and Unicode

Total characters1436525
Distinct characters73
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)0.6%

Sample

1st row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
2nd row228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.
3rd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
4th row228.223 REQUIREMENTS APPLICABLE TO CERTAIN ESTABLISHMENTS Bed and Breakfast . (h) Equipment and utensil design and construction. All equipment and utensils shall be constructed of safe materials and maintained in good repair.
5th row228.45 Contamination Events Clean-up of Vomit and Diarrheal Events. A food establishment shall have written procedures for employees to follow when responding to vomiting or diarrheal events that involve the discharge of vomitus or fecal matter onto surfaces in the food establishment the procedures shall address the specific actions employees must take to minimize the spread of contamination and the exposure of employees, consumers, food, and surfaces to vomitus or fecal matter.
ValueCountFrequency (%)
and 10687
 
5.4%
food 8454
 
4.3%
of 6750
 
3.4%
the 6607
 
3.3%
a 5444
 
2.8%
shall 4509
 
2.3%
in 4278
 
2.2%
be 4149
 
2.1%
equipment 3642
 
1.8%
or 3365
 
1.7%
Other values (1581) 139743
70.7%
2025-04-10T20:10:08.850494image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
295293
20.6%
e 122618
 
8.5%
i 84229
 
5.9%
a 83663
 
5.8%
n 81967
 
5.7%
t 80543
 
5.6%
o 77802
 
5.4%
s 77407
 
5.4%
r 57573
 
4.0%
d 47725
 
3.3%
Other values (63) 427705
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1436525
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
295293
20.6%
e 122618
 
8.5%
i 84229
 
5.9%
a 83663
 
5.8%
n 81967
 
5.7%
t 80543
 
5.6%
o 77802
 
5.4%
s 77407
 
5.4%
r 57573
 
4.0%
d 47725
 
3.3%
Other values (63) 427705
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1436525
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
295293
20.6%
e 122618
 
8.5%
i 84229
 
5.9%
a 83663
 
5.8%
n 81967
 
5.7%
t 80543
 
5.6%
o 77802
 
5.4%
s 77407
 
5.4%
r 57573
 
4.0%
d 47725
 
3.3%
Other values (63) 427705
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1436525
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
295293
20.6%
e 122618
 
8.5%
i 84229
 
5.9%
a 83663
 
5.8%
n 81967
 
5.7%
t 80543
 
5.6%
o 77802
 
5.4%
s 77407
 
5.4%
r 57573
 
4.0%
d 47725
 
3.3%
Other values (63) 427705
29.8%

Violation Memo - 11
Text

Missing 

Distinct1922
Distinct (%)52.3%
Missing43541
Missing (%)92.2%
Memory size1.7 MiB
2025-04-10T20:10:09.255342image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length1318
Median length177
Mean length47.11093
Min length3

Characters and Unicode

Total characters173274
Distinct characters83
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique594 ?
Unique (%)16.2%

Sample

1st rowPOST SIGN " CURRENT HEALTH INSPECTION REPORT IS AVAILABLE UPON REQUEST"
2nd rowObserved drinks and food of employees in soda coolers, designate an area for employees drinks and food
3rd rowclean coolers, shelves, gaskets
4th rowfront cooler 61 degrees f check and repair walk in freezer
5th rowmissing bodily fluids writing procedures /spill kit.
ValueCountFrequency (%)
in 973
 
3.4%
food 803
 
2.8%
clean 528
 
1.8%
on 510
 
1.8%
provide 496
 
1.7%
and 484
 
1.7%
observed 441
 
1.5%
all 406
 
1.4%
of 381
 
1.3%
the 366
 
1.3%
Other values (1806) 23285
81.2%
2025-04-10T20:10:10.170538image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25766
 
14.9%
e 13209
 
7.6%
o 10106
 
5.8%
n 7931
 
4.6%
r 7876
 
4.5%
a 7799
 
4.5%
s 7514
 
4.3%
i 7394
 
4.3%
t 7304
 
4.2%
d 5141
 
3.0%
Other values (73) 73234
42.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 173274
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
25766
 
14.9%
e 13209
 
7.6%
o 10106
 
5.8%
n 7931
 
4.6%
r 7876
 
4.5%
a 7799
 
4.5%
s 7514
 
4.3%
i 7394
 
4.3%
t 7304
 
4.2%
d 5141
 
3.0%
Other values (73) 73234
42.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 173274
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
25766
 
14.9%
e 13209
 
7.6%
o 10106
 
5.8%
n 7931
 
4.6%
r 7876
 
4.5%
a 7799
 
4.5%
s 7514
 
4.3%
i 7394
 
4.3%
t 7304
 
4.2%
d 5141
 
3.0%
Other values (73) 73234
42.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 173274
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
25766
 
14.9%
e 13209
 
7.6%
o 10106
 
5.8%
n 7931
 
4.6%
r 7876
 
4.5%
a 7799
 
4.5%
s 7514
 
4.3%
i 7394
 
4.3%
t 7304
 
4.2%
d 5141
 
3.0%
Other values (73) 73234
42.3%
Distinct214
Distinct (%)8.3%
Missing44652
Missing (%)94.6%
Memory size1.6 MiB
2025-04-10T20:10:10.455500image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length83
Mean length45.845345
Min length12

Characters and Unicode

Total characters117685
Distinct characters80
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)0.9%

Sample

1st row*35 Hair Restraints effective
2nd row*41 Food storage containers, identified with common name of food.
3rd row*42 Dirty nonfood contact surfaces
4th row*10 Clean Sight and Touch
5th row*34 Pest control-routine inspections for
ValueCountFrequency (%)
food 791
 
4.3%
402
 
2.2%
in 379
 
2.1%
of 284
 
1.5%
or 274
 
1.5%
47 251
 
1.4%
the 243
 
1.3%
good 242
 
1.3%
be 232
 
1.3%
45 228
 
1.2%
Other values (620) 15135
82.0%
2025-04-10T20:10:11.045419image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16180
13.7%
e 9640
 
8.2%
o 8817
 
7.5%
i 7477
 
6.4%
n 7203
 
6.1%
t 6899
 
5.9%
s 6176
 
5.2%
a 5990
 
5.1%
r 5638
 
4.8%
d 4200
 
3.6%
Other values (70) 39465
33.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 117685
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
16180
13.7%
e 9640
 
8.2%
o 8817
 
7.5%
i 7477
 
6.4%
n 7203
 
6.1%
t 6899
 
5.9%
s 6176
 
5.2%
a 5990
 
5.1%
r 5638
 
4.8%
d 4200
 
3.6%
Other values (70) 39465
33.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 117685
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
16180
13.7%
e 9640
 
8.2%
o 8817
 
7.5%
i 7477
 
6.4%
n 7203
 
6.1%
t 6899
 
5.9%
s 6176
 
5.2%
a 5990
 
5.1%
r 5638
 
4.8%
d 4200
 
3.6%
Other values (70) 39465
33.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 117685
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
16180
13.7%
e 9640
 
8.2%
o 8817
 
7.5%
i 7477
 
6.4%
n 7203
 
6.1%
t 6899
 
5.9%
s 6176
 
5.2%
a 5990
 
5.1%
r 5638
 
4.8%
d 4200
 
3.6%
Other values (70) 39465
33.5%

Violation Points - 12
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.1%
Missing44652
Missing (%)94.6%
Memory size2.9 MiB
1.0
1624 
2.0
538 
3.0
405 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters7701
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 1624
 
3.4%
2.0 538
 
1.1%
3.0 405
 
0.9%
(Missing) 44652
94.6%

Length

2025-04-10T20:10:11.280251image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:11.440264image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1624
63.3%
2.0 538
 
21.0%
3.0 405
 
15.8%

Most occurring characters

ValueCountFrequency (%)
. 2567
33.3%
0 2567
33.3%
1 1624
21.1%
2 538
 
7.0%
3 405
 
5.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7701
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 2567
33.3%
0 2567
33.3%
1 1624
21.1%
2 538
 
7.0%
3 405
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7701
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 2567
33.3%
0 2567
33.3%
1 1624
21.1%
2 538
 
7.0%
3 405
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7701
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 2567
33.3%
0 2567
33.3%
1 1624
21.1%
2 538
 
7.0%
3 405
 
5.3%

Violation Detail - 12
Text

Missing 

Distinct216
Distinct (%)8.7%
Missing44740
Missing (%)94.7%
Memory size2.5 MiB
2025-04-10T20:10:11.870057image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length888
Median length547
Mean length347.49496
Min length125

Characters and Unicode

Total characters861440
Distinct characters73
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)1.0%

Sample

1st row228.43 Management and Personnel. Hair restraints. (a) Except as provided in subsection (b) of this section, food employees shall wear hair restraints such as hats, hair coverings or nets, beard restraints, and clothing that covers body hair, that are designed and worn to effectively keep their hair from contacting exposed food; clean equipment, utensils, and linens; and unwrapped single-service and single-use articles.
2nd row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
3rd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
4th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
5th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to minimize their presence within the physical facility and its contents, and on the contiguous land or property under the control of the permit holder by: (2) routinely inspecting the premises for evidence of pests;
ValueCountFrequency (%)
and 6373
 
5.4%
food 5064
 
4.3%
of 4164
 
3.5%
the 3842
 
3.2%
a 3194
 
2.7%
shall 2737
 
2.3%
in 2566
 
2.2%
be 2438
 
2.1%
equipment 2210
 
1.9%
or 1962
 
1.7%
Other values (1431) 83695
70.8%
2025-04-10T20:10:12.560309image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176160
20.4%
e 73109
 
8.5%
i 51099
 
5.9%
a 50174
 
5.8%
n 49606
 
5.8%
t 48262
 
5.6%
o 47011
 
5.5%
s 46550
 
5.4%
r 34554
 
4.0%
d 28714
 
3.3%
Other values (63) 256201
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 861440
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
176160
20.4%
e 73109
 
8.5%
i 51099
 
5.9%
a 50174
 
5.8%
n 49606
 
5.8%
t 48262
 
5.6%
o 47011
 
5.5%
s 46550
 
5.4%
r 34554
 
4.0%
d 28714
 
3.3%
Other values (63) 256201
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 861440
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
176160
20.4%
e 73109
 
8.5%
i 51099
 
5.9%
a 50174
 
5.8%
n 49606
 
5.8%
t 48262
 
5.6%
o 47011
 
5.5%
s 46550
 
5.4%
r 34554
 
4.0%
d 28714
 
3.3%
Other values (63) 256201
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 861440
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
176160
20.4%
e 73109
 
8.5%
i 51099
 
5.9%
a 50174
 
5.8%
n 49606
 
5.8%
t 48262
 
5.6%
o 47011
 
5.5%
s 46550
 
5.4%
r 34554
 
4.0%
d 28714
 
3.3%
Other values (63) 256201
29.7%

Violation Memo - 12
Text

Missing 

Distinct1191
Distinct (%)52.2%
Missing44937
Missing (%)95.2%
Memory size1.6 MiB
2025-04-10T20:10:12.980145image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length502
Median length133
Mean length46.545574
Min length3

Characters and Unicode

Total characters106217
Distinct characters83
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique347 ?
Unique (%)15.2%

Sample

1st rowPROPERLY RESTRAIN HAIR
2nd rowLabel bulk food items (flour, pizza sauce, cornstarch)
3rd rowObserved dirty outsides of containers, walls, shelves
4th rowUNSANITARY CONDITIONS- CLEAN ALL
5th rowobserved flies and fruit flies
ValueCountFrequency (%)
in 639
 
3.6%
food 533
 
3.0%
and 357
 
2.0%
clean 350
 
2.0%
on 343
 
1.9%
provide 323
 
1.8%
observed 289
 
1.6%
all 246
 
1.4%
the 214
 
1.2%
for 209
 
1.2%
Other values (1395) 14197
80.2%
2025-04-10T20:10:13.648954image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15668
 
14.8%
e 8297
 
7.8%
o 6370
 
6.0%
r 5160
 
4.9%
a 4963
 
4.7%
n 4820
 
4.5%
s 4726
 
4.4%
i 4482
 
4.2%
t 4320
 
4.1%
l 3346
 
3.2%
Other values (73) 44065
41.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 106217
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
15668
 
14.8%
e 8297
 
7.8%
o 6370
 
6.0%
r 5160
 
4.9%
a 4963
 
4.7%
n 4820
 
4.5%
s 4726
 
4.4%
i 4482
 
4.2%
t 4320
 
4.1%
l 3346
 
3.2%
Other values (73) 44065
41.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 106217
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
15668
 
14.8%
e 8297
 
7.8%
o 6370
 
6.0%
r 5160
 
4.9%
a 4963
 
4.7%
n 4820
 
4.5%
s 4726
 
4.4%
i 4482
 
4.2%
t 4320
 
4.1%
l 3346
 
3.2%
Other values (73) 44065
41.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 106217
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
15668
 
14.8%
e 8297
 
7.8%
o 6370
 
6.0%
r 5160
 
4.9%
a 4963
 
4.7%
n 4820
 
4.5%
s 4726
 
4.4%
i 4482
 
4.2%
t 4320
 
4.1%
l 3346
 
3.2%
Other values (73) 44065
41.5%
Distinct174
Distinct (%)11.3%
Missing45683
Missing (%)96.7%
Memory size1.5 MiB
2025-04-10T20:10:13.951264image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length74
Mean length44.210286
Min length12

Characters and Unicode

Total characters67907
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)1.8%

Sample

1st row*42 Dirty nonfood contact surfaces
2nd row*45 Drying Mops-air dry
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*43 Clean vent syst:Intake/exhaust air ducts
5th row*03 Food products not maintained at 135øF or above
ValueCountFrequency (%)
food 440
 
4.1%
234
 
2.2%
in 227
 
2.1%
47 145
 
1.4%
or 139
 
1.3%
of 131
 
1.2%
for 129
 
1.2%
good 129
 
1.2%
45 127
 
1.2%
repair 127
 
1.2%
Other values (557) 8797
82.8%
2025-04-10T20:10:14.524428image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9280
13.7%
e 5539
 
8.2%
o 4979
 
7.3%
i 4325
 
6.4%
n 4028
 
5.9%
t 3895
 
5.7%
s 3662
 
5.4%
a 3453
 
5.1%
r 3247
 
4.8%
d 2517
 
3.7%
Other values (69) 22982
33.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 67907
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9280
13.7%
e 5539
 
8.2%
o 4979
 
7.3%
i 4325
 
6.4%
n 4028
 
5.9%
t 3895
 
5.7%
s 3662
 
5.4%
a 3453
 
5.1%
r 3247
 
4.8%
d 2517
 
3.7%
Other values (69) 22982
33.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 67907
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9280
13.7%
e 5539
 
8.2%
o 4979
 
7.3%
i 4325
 
6.4%
n 4028
 
5.9%
t 3895
 
5.7%
s 3662
 
5.4%
a 3453
 
5.1%
r 3247
 
4.8%
d 2517
 
3.7%
Other values (69) 22982
33.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 67907
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9280
13.7%
e 5539
 
8.2%
o 4979
 
7.3%
i 4325
 
6.4%
n 4028
 
5.9%
t 3895
 
5.7%
s 3662
 
5.4%
a 3453
 
5.1%
r 3247
 
4.8%
d 2517
 
3.7%
Other values (69) 22982
33.8%

Violation Points - 13
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.2%
Missing45683
Missing (%)96.7%
Memory size2.9 MiB
1.0
987 
2.0
326 
3.0
223 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters4608
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 987
 
2.1%
2.0 326
 
0.7%
3.0 223
 
0.5%
(Missing) 45683
96.7%

Length

2025-04-10T20:10:14.835541image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:15.047693image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 987
64.3%
2.0 326
 
21.2%
3.0 223
 
14.5%

Most occurring characters

ValueCountFrequency (%)
. 1536
33.3%
0 1536
33.3%
1 987
21.4%
2 326
 
7.1%
3 223
 
4.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4608
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 1536
33.3%
0 1536
33.3%
1 987
21.4%
2 326
 
7.1%
3 223
 
4.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4608
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 1536
33.3%
0 1536
33.3%
1 987
21.4%
2 326
 
7.1%
3 223
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4608
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 1536
33.3%
0 1536
33.3%
1 987
21.4%
2 326
 
7.1%
3 223
 
4.8%

Violation Detail - 13
Text

Missing 

Distinct177
Distinct (%)11.9%
Missing45736
Missing (%)96.9%
Memory size2.0 MiB
2025-04-10T20:10:15.381860image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length829
Median length547
Mean length337.83412
Min length125

Characters and Unicode

Total characters501008
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)2.0%

Sample

1st row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
2nd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (f) Drying mops. After use, mops shall be placed in a position that allows them to air-dry without soiling walls, equipment, or supplies.
3rd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
4th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.
5th row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit);
ValueCountFrequency (%)
and 3842
 
5.6%
food 2897
 
4.2%
of 2266
 
3.3%
the 1981
 
2.9%
a 1815
 
2.7%
shall 1603
 
2.4%
be 1466
 
2.1%
in 1412
 
2.1%
equipment 1348
 
2.0%
or 1127
 
1.7%
Other values (1282) 48451
71.0%
2025-04-10T20:10:16.124280image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102739
20.5%
e 42280
 
8.4%
i 30050
 
6.0%
a 29036
 
5.8%
n 28786
 
5.7%
s 27628
 
5.5%
t 27562
 
5.5%
o 26674
 
5.3%
r 19735
 
3.9%
d 16786
 
3.4%
Other values (61) 149732
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 501008
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
102739
20.5%
e 42280
 
8.4%
i 30050
 
6.0%
a 29036
 
5.8%
n 28786
 
5.7%
s 27628
 
5.5%
t 27562
 
5.5%
o 26674
 
5.3%
r 19735
 
3.9%
d 16786
 
3.4%
Other values (61) 149732
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 501008
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
102739
20.5%
e 42280
 
8.4%
i 30050
 
6.0%
a 29036
 
5.8%
n 28786
 
5.7%
s 27628
 
5.5%
t 27562
 
5.5%
o 26674
 
5.3%
r 19735
 
3.9%
d 16786
 
3.4%
Other values (61) 149732
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 501008
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
102739
20.5%
e 42280
 
8.4%
i 30050
 
6.0%
a 29036
 
5.8%
n 28786
 
5.7%
s 27628
 
5.5%
t 27562
 
5.5%
o 26674
 
5.3%
r 19735
 
3.9%
d 16786
 
3.4%
Other values (61) 149732
29.9%

Violation Memo - 13
Text

Missing 

Distinct763
Distinct (%)55.7%
Missing45849
Missing (%)97.1%
Memory size1.5 MiB
2025-04-10T20:10:16.522623image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length881
Median length126
Mean length48.90146
Min length4

Characters and Unicode

Total characters66995
Distinct characters83
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique237 ?
Unique (%)17.3%

Sample

1st rowClean pizza prep counters Clean floors
2nd rowDump dirty mop water and hang mop
3rd rowREMOVE DUST FROM CEILING IN KITCHEN, CLEAN GASKETS, FRP, WALLS, FLOORS & DRAINS
4th rowDUSTY INTAKE VENTS
5th rowG. CHICKEN 57.8 & G. BEEF 57.7
ValueCountFrequency (%)
in 350
 
3.2%
food 292
 
2.6%
clean 227
 
2.0%
on 202
 
1.8%
and 200
 
1.8%
provide 180
 
1.6%
observed 159
 
1.4%
all 138
 
1.2%
to 135
 
1.2%
the 128
 
1.2%
Other values (1154) 9070
81.9%
2025-04-10T20:10:16.866081image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9993
 
14.9%
e 5231
 
7.8%
o 4001
 
6.0%
a 3342
 
5.0%
n 3244
 
4.8%
r 3152
 
4.7%
s 3024
 
4.5%
t 3007
 
4.5%
i 2924
 
4.4%
l 2177
 
3.2%
Other values (73) 26900
40.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 66995
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9993
 
14.9%
e 5231
 
7.8%
o 4001
 
6.0%
a 3342
 
5.0%
n 3244
 
4.8%
r 3152
 
4.7%
s 3024
 
4.5%
t 3007
 
4.5%
i 2924
 
4.4%
l 2177
 
3.2%
Other values (73) 26900
40.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 66995
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9993
 
14.9%
e 5231
 
7.8%
o 4001
 
6.0%
a 3342
 
5.0%
n 3244
 
4.8%
r 3152
 
4.7%
s 3024
 
4.5%
t 3007
 
4.5%
i 2924
 
4.4%
l 2177
 
3.2%
Other values (73) 26900
40.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 66995
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9993
 
14.9%
e 5231
 
7.8%
o 4001
 
6.0%
a 3342
 
5.0%
n 3244
 
4.8%
r 3152
 
4.7%
s 3024
 
4.5%
t 3007
 
4.5%
i 2924
 
4.4%
l 2177
 
3.2%
Other values (73) 26900
40.2%
Distinct164
Distinct (%)16.1%
Missing46201
Missing (%)97.8%
Memory size1.5 MiB
2025-04-10T20:10:17.030574image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length69
Mean length45.883104
Min length12

Characters and Unicode

Total characters46709
Distinct characters77
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)3.1%

Sample

1st row*32 Damaged Equipment
2nd row*34 Outer openings:closed,tight-fitting windows
3rd row*37 Food storage, prohibited areas under leaking water lines
4th row*30 Food Establishment Permit
5th row*06 Discard if TCS is in container w/ no date or day
ValueCountFrequency (%)
food 300
 
4.1%
175
 
2.4%
in 137
 
1.9%
of 108
 
1.5%
or 107
 
1.5%
47 97
 
1.3%
for 95
 
1.3%
the 93
 
1.3%
and 89
 
1.2%
good 80
 
1.1%
Other values (518) 5982
82.4%
2025-04-10T20:10:17.300255image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6352
13.6%
e 3821
 
8.2%
o 3502
 
7.5%
i 2909
 
6.2%
n 2868
 
6.1%
t 2683
 
5.7%
s 2511
 
5.4%
a 2444
 
5.2%
r 2188
 
4.7%
d 1629
 
3.5%
Other values (67) 15802
33.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 46709
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
6352
13.6%
e 3821
 
8.2%
o 3502
 
7.5%
i 2909
 
6.2%
n 2868
 
6.1%
t 2683
 
5.7%
s 2511
 
5.4%
a 2444
 
5.2%
r 2188
 
4.7%
d 1629
 
3.5%
Other values (67) 15802
33.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 46709
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
6352
13.6%
e 3821
 
8.2%
o 3502
 
7.5%
i 2909
 
6.2%
n 2868
 
6.1%
t 2683
 
5.7%
s 2511
 
5.4%
a 2444
 
5.2%
r 2188
 
4.7%
d 1629
 
3.5%
Other values (67) 15802
33.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 46709
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
6352
13.6%
e 3821
 
8.2%
o 3502
 
7.5%
i 2909
 
6.2%
n 2868
 
6.1%
t 2683
 
5.7%
s 2511
 
5.4%
a 2444
 
5.2%
r 2188
 
4.7%
d 1629
 
3.5%
Other values (67) 15802
33.8%

Violation Points - 14
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.3%
Missing46201
Missing (%)97.8%
Memory size2.9 MiB
1.0
611 
2.0
246 
3.0
161 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3054
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 611
 
1.3%
2.0 246
 
0.5%
3.0 161
 
0.3%
(Missing) 46201
97.8%

Length

2025-04-10T20:10:17.404337image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:17.472226image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 611
60.0%
2.0 246
24.2%
3.0 161
 
15.8%

Most occurring characters

ValueCountFrequency (%)
. 1018
33.3%
0 1018
33.3%
1 611
20.0%
2 246
 
8.1%
3 161
 
5.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3054
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 1018
33.3%
0 1018
33.3%
1 611
20.0%
2 246
 
8.1%
3 161
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3054
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 1018
33.3%
0 1018
33.3%
1 611
20.0%
2 246
 
8.1%
3 161
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3054
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 1018
33.3%
0 1018
33.3%
1 611
20.0%
2 246
 
8.1%
3 161
 
5.3%

Violation Detail - 14
Text

Missing 

Distinct164
Distinct (%)16.6%
Missing46231
Missing (%)97.9%
Memory size1.8 MiB
2025-04-10T20:10:17.583794image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length829
Median length495
Mean length347.51619
Min length148

Characters and Unicode

Total characters343346
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)3.2%

Sample

1st row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;
2nd row228.174 Physical Facilities. Functionality. (e) Outer openings, protected. (1) Except as specified in paragraphs (2) - (5) of this subsection, outer openings of a food establishment shall be protected against the entry of insects and rodents by: (B) closed, tight-fitting windows; and
3rd row228.69 Food. Preventing contamination from the premises. (b) Food storage, prohibited areas. Food may not be stored: (7) under leaking water lines, including leaking automatic fire sprinkler heads, or under lines on which water has condensed;
4th rowSEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (1) Requisite. A person shall not operate a food establishment inside the city without a permit issued by the director. A separate permit is required for: (A) each establishment that is under a separate ownership;
5th row228.75 Food. Time and temperature control. (h) Ready-to-eat, TCS food, disposition. (1) A food specified in subsection (g)(1) or (2) of this section shall be discarded if it: (B) is in a container or package that does not bear a date or day; or
ValueCountFrequency (%)
and 2631
 
5.6%
food 1987
 
4.2%
of 1566
 
3.3%
the 1401
 
3.0%
a 1310
 
2.8%
shall 1072
 
2.3%
be 1000
 
2.1%
in 972
 
2.1%
equipment 854
 
1.8%
or 803
 
1.7%
Other values (1222) 33355
71.0%
2025-04-10T20:10:17.860197image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70574
20.6%
e 28927
 
8.4%
i 20262
 
5.9%
a 20151
 
5.9%
n 19950
 
5.8%
t 19045
 
5.5%
o 18665
 
5.4%
s 18486
 
5.4%
r 13572
 
4.0%
d 11508
 
3.4%
Other values (61) 102206
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 343346
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
70574
20.6%
e 28927
 
8.4%
i 20262
 
5.9%
a 20151
 
5.9%
n 19950
 
5.8%
t 19045
 
5.5%
o 18665
 
5.4%
s 18486
 
5.4%
r 13572
 
4.0%
d 11508
 
3.4%
Other values (61) 102206
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 343346
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
70574
20.6%
e 28927
 
8.4%
i 20262
 
5.9%
a 20151
 
5.9%
n 19950
 
5.8%
t 19045
 
5.5%
o 18665
 
5.4%
s 18486
 
5.4%
r 13572
 
4.0%
d 11508
 
3.4%
Other values (61) 102206
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 343346
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
70574
20.6%
e 28927
 
8.4%
i 20262
 
5.9%
a 20151
 
5.9%
n 19950
 
5.8%
t 19045
 
5.5%
o 18665
 
5.4%
s 18486
 
5.4%
r 13572
 
4.0%
d 11508
 
3.4%
Other values (61) 102206
29.8%

Violation Memo - 14
Text

Missing 

Distinct522
Distinct (%)57.1%
Missing46305
Missing (%)98.1%
Memory size1.5 MiB
2025-04-10T20:10:18.040409image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length264
Median length108
Mean length47.817287
Min length5

Characters and Unicode

Total characters43705
Distinct characters77
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)18.4%

Sample

1st rowObserved large amount of water siting, repair cooler unit in WIC
2nd rowCLOSE ALL OUTERS OPENINGS ( DOORS, HOLES & GAPS)
3rd rowOBSERVED FOOD ITEMS STORED UNDER LEAKING CONDENSATION
4th rowPOST HEALTH PERMIT, CO , RFSM & TAX STATEMENT IN FRONT OF ESTABLISHMENT FOR CUSTOMERS' VIEW
5th rowLETTUCE 73*F ON PREP TABLE
ValueCountFrequency (%)
in 250
 
3.4%
food 206
 
2.8%
on 145
 
2.0%
and 138
 
1.9%
clean 117
 
1.6%
observed 107
 
1.5%
of 101
 
1.4%
hand 99
 
1.3%
the 98
 
1.3%
all 97
 
1.3%
Other values (865) 6014
81.6%
2025-04-10T20:10:18.420189image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6520
 
14.9%
e 3201
 
7.3%
o 2405
 
5.5%
n 2122
 
4.9%
a 1945
 
4.5%
i 1882
 
4.3%
r 1858
 
4.3%
t 1848
 
4.2%
s 1783
 
4.1%
d 1277
 
2.9%
Other values (67) 18864
43.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 43705
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
6520
 
14.9%
e 3201
 
7.3%
o 2405
 
5.5%
n 2122
 
4.9%
a 1945
 
4.5%
i 1882
 
4.3%
r 1858
 
4.3%
t 1848
 
4.2%
s 1783
 
4.1%
d 1277
 
2.9%
Other values (67) 18864
43.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 43705
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
6520
 
14.9%
e 3201
 
7.3%
o 2405
 
5.5%
n 2122
 
4.9%
a 1945
 
4.5%
i 1882
 
4.3%
r 1858
 
4.3%
t 1848
 
4.2%
s 1783
 
4.1%
d 1277
 
2.9%
Other values (67) 18864
43.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 43705
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
6520
 
14.9%
e 3201
 
7.3%
o 2405
 
5.5%
n 2122
 
4.9%
a 1945
 
4.5%
i 1882
 
4.3%
r 1858
 
4.3%
t 1848
 
4.2%
s 1783
 
4.1%
d 1277
 
2.9%
Other values (67) 18864
43.2%
Distinct131
Distinct (%)18.9%
Missing46526
Missing (%)98.5%
Memory size1.5 MiB
2025-04-10T20:10:18.569995image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length73
Mean length44.994228
Min length16

Characters and Unicode

Total characters31181
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)3.8%

Sample

1st row*15 Bare hands contact with ready-to-eat foods
2nd row*45 Floor contruction requirements
3rd row*44 Trash can provided for papertowel waste
4th row*10 Sanitization after Cleaning
5th row*21 RFSM - Not On Site
ValueCountFrequency (%)
food 226
 
4.6%
121
 
2.5%
in 97
 
2.0%
or 82
 
1.7%
47 73
 
1.5%
42 62
 
1.3%
of 61
 
1.2%
the 60
 
1.2%
dirty 57
 
1.2%
equipment 54
 
1.1%
Other values (436) 3996
81.7%
2025-04-10T20:10:18.806404image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4280
13.7%
e 2473
 
7.9%
o 2363
 
7.6%
n 1892
 
6.1%
i 1875
 
6.0%
t 1802
 
5.8%
a 1654
 
5.3%
s 1572
 
5.0%
r 1485
 
4.8%
d 1152
 
3.7%
Other values (65) 10633
34.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 31181
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4280
13.7%
e 2473
 
7.9%
o 2363
 
7.6%
n 1892
 
6.1%
i 1875
 
6.0%
t 1802
 
5.8%
a 1654
 
5.3%
s 1572
 
5.0%
r 1485
 
4.8%
d 1152
 
3.7%
Other values (65) 10633
34.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 31181
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4280
13.7%
e 2473
 
7.9%
o 2363
 
7.6%
n 1892
 
6.1%
i 1875
 
6.0%
t 1802
 
5.8%
a 1654
 
5.3%
s 1572
 
5.0%
r 1485
 
4.8%
d 1152
 
3.7%
Other values (65) 10633
34.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 31181
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4280
13.7%
e 2473
 
7.9%
o 2363
 
7.6%
n 1892
 
6.1%
i 1875
 
6.0%
t 1802
 
5.8%
a 1654
 
5.3%
s 1572
 
5.0%
r 1485
 
4.8%
d 1152
 
3.7%
Other values (65) 10633
34.1%

Violation Points - 15
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.4%
Missing46526
Missing (%)98.5%
Memory size2.9 MiB
1.0
425 
3.0
140 
2.0
128 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2079
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row1.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 425
 
0.9%
3.0 140
 
0.3%
2.0 128
 
0.3%
(Missing) 46526
98.5%

Length

2025-04-10T20:10:18.901905image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:18.970269image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 425
61.3%
3.0 140
 
20.2%
2.0 128
 
18.5%

Most occurring characters

ValueCountFrequency (%)
. 693
33.3%
0 693
33.3%
1 425
20.4%
3 140
 
6.7%
2 128
 
6.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2079
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 693
33.3%
0 693
33.3%
1 425
20.4%
3 140
 
6.7%
2 128
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2079
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 693
33.3%
0 693
33.3%
1 425
20.4%
3 140
 
6.7%
2 128
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2079
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 693
33.3%
0 693
33.3%
1 425
20.4%
3 140
 
6.7%
2 128
 
6.2%

Violation Detail - 15
Text

Missing 

Distinct131
Distinct (%)19.5%
Missing46548
Missing (%)98.6%
Memory size1.7 MiB
2025-04-10T20:10:19.110364image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length829
Median length495
Mean length357.72578
Min length163

Characters and Unicode

Total characters240034
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)4.2%

Sample

1st row228.65 Food. Preventing contamination by employees. (a) Preventing contamination from hands. (2) Except when washing fruits and vegetables as specified in õ228.66(e) of this title or as specified in paragraphs (4) and (5) of this subsection, food employees may not contact exposed, ready-to-eat food with their bare hands and shall use suitable utensils such as deli tissue, spatulas, tongs, single-use gloves, or dispensing equipment.
2nd rowSEC. 17-6.2. ADDITIONAL REQUIREMENTS. (c) Floors, walls, and ceilings. (2) Special requirements for floors. A food establishment shall: (A) construct floors that are water flushed for cleaning, or that receive discharges of liquid from equipment or pressure sprays, of sealed concrete, terrazzo, ceramic tile, or similar material that is graded to a properly installed trapped floor drain
3rd row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (g) Storage areas, rooms, and receptacles, capacity and availability. (3) If disposable towels are used at handwashing lavatories, a waste receptacle shall be located at each lavatory or group of adjacent lavatories.
4th row228.117 Equipment, Utensils, and Linens. Sanitization Frequency, Before Use After Cleaning. Utensils and food-contact surfaces of equipment shall be sanitized before use after cleaning.
5th rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
ValueCountFrequency (%)
and 1802
 
5.4%
food 1489
 
4.5%
of 1106
 
3.3%
the 1046
 
3.2%
a 860
 
2.6%
shall 747
 
2.3%
in 712
 
2.1%
be 673
 
2.0%
equipment 559
 
1.7%
or 532
 
1.6%
Other values (1069) 23648
71.3%
2025-04-10T20:10:19.370295image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48941
20.4%
e 20286
 
8.5%
a 14080
 
5.9%
i 13940
 
5.8%
n 13879
 
5.8%
o 13373
 
5.6%
t 13217
 
5.5%
s 12958
 
5.4%
r 9547
 
4.0%
d 8194
 
3.4%
Other values (61) 71619
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 240034
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
48941
20.4%
e 20286
 
8.5%
a 14080
 
5.9%
i 13940
 
5.8%
n 13879
 
5.8%
o 13373
 
5.6%
t 13217
 
5.5%
s 12958
 
5.4%
r 9547
 
4.0%
d 8194
 
3.4%
Other values (61) 71619
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 240034
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
48941
20.4%
e 20286
 
8.5%
a 14080
 
5.9%
i 13940
 
5.8%
n 13879
 
5.8%
o 13373
 
5.6%
t 13217
 
5.5%
s 12958
 
5.4%
r 9547
 
4.0%
d 8194
 
3.4%
Other values (61) 71619
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 240034
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
48941
20.4%
e 20286
 
8.5%
a 14080
 
5.9%
i 13940
 
5.8%
n 13879
 
5.8%
o 13373
 
5.6%
t 13217
 
5.5%
s 12958
 
5.4%
r 9547
 
4.0%
d 8194
 
3.4%
Other values (61) 71619
29.8%

Violation Memo - 15
Text

Missing 

Distinct348
Distinct (%)57.1%
Missing46610
Missing (%)98.7%
Memory size1.5 MiB
2025-04-10T20:10:19.515478image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length436
Median length105
Mean length48.293924
Min length4

Characters and Unicode

Total characters29411
Distinct characters73
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)19.4%

Sample

1st rowBARE HAND CONTACT ON RTE FOOD
2nd rowREPAIR ALL
3rd rowPROVIDE TRASH CAN AT HAND SINK
4th rowLACK OF SANITIZER IN 3 COMP SINK
5th rowTUNA 51.4, C. CUCUMBERS 60.3
ValueCountFrequency (%)
in 148
 
3.0%
on 126
 
2.6%
food 125
 
2.6%
clean 118
 
2.4%
and 88
 
1.8%
observed 85
 
1.7%
of 67
 
1.4%
provide 67
 
1.4%
hand 63
 
1.3%
no 59
 
1.2%
Other values (732) 3940
80.6%
2025-04-10T20:10:19.915390image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4364
 
14.8%
e 2084
 
7.1%
o 1589
 
5.4%
n 1268
 
4.3%
a 1253
 
4.3%
r 1214
 
4.1%
s 1179
 
4.0%
i 1164
 
4.0%
t 1154
 
3.9%
d 856
 
2.9%
Other values (63) 13286
45.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29411
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4364
 
14.8%
e 2084
 
7.1%
o 1589
 
5.4%
n 1268
 
4.3%
a 1253
 
4.3%
r 1214
 
4.1%
s 1179
 
4.0%
i 1164
 
4.0%
t 1154
 
3.9%
d 856
 
2.9%
Other values (63) 13286
45.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29411
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4364
 
14.8%
e 2084
 
7.1%
o 1589
 
5.4%
n 1268
 
4.3%
a 1253
 
4.3%
r 1214
 
4.1%
s 1179
 
4.0%
i 1164
 
4.0%
t 1154
 
3.9%
d 856
 
2.9%
Other values (63) 13286
45.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29411
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4364
 
14.8%
e 2084
 
7.1%
o 1589
 
5.4%
n 1268
 
4.3%
a 1253
 
4.3%
r 1214
 
4.1%
s 1179
 
4.0%
i 1164
 
4.0%
t 1154
 
3.9%
d 856
 
2.9%
Other values (63) 13286
45.2%
Distinct108
Distinct (%)25.2%
Missing46791
Missing (%)99.1%
Memory size1.5 MiB
2025-04-10T20:10:20.070117image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length66
Mean length44.591121
Min length13

Characters and Unicode

Total characters19085
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)6.3%

Sample

1st row*10 Clean Sight and Touch
2nd row*02 Cold Hold (41øF/45øF or below)
3rd row*41 Food storage containers, identified with common name of food.
4th row*39 Equipment in good repair and proper adjustment.
5th row*41 Food Labeling - Bulk Food w/ Card or Sign
ValueCountFrequency (%)
food 116
 
3.9%
88
 
3.0%
in 51
 
1.7%
47 50
 
1.7%
or 50
 
1.7%
and 42
 
1.4%
the 38
 
1.3%
equipment 35
 
1.2%
of 35
 
1.2%
42 34
 
1.1%
Other values (401) 2419
81.8%
2025-04-10T20:10:20.310363image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2580
13.5%
e 1540
 
8.1%
o 1374
 
7.2%
i 1248
 
6.5%
n 1174
 
6.2%
t 1142
 
6.0%
s 1016
 
5.3%
a 966
 
5.1%
r 907
 
4.8%
d 694
 
3.6%
Other values (64) 6444
33.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 19085
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2580
13.5%
e 1540
 
8.1%
o 1374
 
7.2%
i 1248
 
6.5%
n 1174
 
6.2%
t 1142
 
6.0%
s 1016
 
5.3%
a 966
 
5.1%
r 907
 
4.8%
d 694
 
3.6%
Other values (64) 6444
33.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 19085
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2580
13.5%
e 1540
 
8.1%
o 1374
 
7.2%
i 1248
 
6.5%
n 1174
 
6.2%
t 1142
 
6.0%
s 1016
 
5.3%
a 966
 
5.1%
r 907
 
4.8%
d 694
 
3.6%
Other values (64) 6444
33.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 19085
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2580
13.5%
e 1540
 
8.1%
o 1374
 
7.2%
i 1248
 
6.5%
n 1174
 
6.2%
t 1142
 
6.0%
s 1016
 
5.3%
a 966
 
5.1%
r 907
 
4.8%
d 694
 
3.6%
Other values (64) 6444
33.8%

Violation Points - 16
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.7%
Missing46791
Missing (%)99.1%
Memory size2.9 MiB
1.0
276 
2.0
82 
3.0
70 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1284
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 276
 
0.6%
2.0 82
 
0.2%
3.0 70
 
0.1%
(Missing) 46791
99.1%

Length

2025-04-10T20:10:20.410601image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:20.475272image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 276
64.5%
2.0 82
 
19.2%
3.0 70
 
16.4%

Most occurring characters

ValueCountFrequency (%)
. 428
33.3%
0 428
33.3%
1 276
21.5%
2 82
 
6.4%
3 70
 
5.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1284
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 428
33.3%
0 428
33.3%
1 276
21.5%
2 82
 
6.4%
3 70
 
5.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1284
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 428
33.3%
0 428
33.3%
1 276
21.5%
2 82
 
6.4%
3 70
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1284
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 428
33.3%
0 428
33.3%
1 276
21.5%
2 82
 
6.4%
3 70
 
5.5%

Violation Detail - 16
Text

Missing 

Distinct108
Distinct (%)26.5%
Missing46811
Missing (%)99.1%
Memory size1.6 MiB
2025-04-10T20:10:20.611729image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length829
Median length474
Mean length332.04412
Min length125

Characters and Unicode

Total characters135474
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)6.9%

Sample

1st row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
2nd row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
3rd row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
4th row228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (a) Good repair and proper adjustment. (1) Equipment shall be maintained in a state of repair and condition that meets the requirements specified in õõ228.101 - 228.106 of this title.
5th row228.79 Food. Labeling. (a) Food labels. (3) Bulk food that is available for consumer self-dispensing shall be prominently labeled with the following information in plain view of the consumer: (B) a card, sign, or other method of notification that includes the information specified in paragraph (2)(A), (B), and (F) of this subsection.
ValueCountFrequency (%)
and 1066
 
5.8%
food 715
 
3.9%
of 614
 
3.3%
the 519
 
2.8%
a 484
 
2.6%
shall 453
 
2.5%
be 403
 
2.2%
equipment 394
 
2.1%
in 336
 
1.8%
or 309
 
1.7%
Other values (988) 13060
71.2%
2025-04-10T20:10:20.890527image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28098
20.7%
e 11242
 
8.3%
i 8096
 
6.0%
n 7882
 
5.8%
a 7768
 
5.7%
s 7641
 
5.6%
t 7404
 
5.5%
o 7091
 
5.2%
r 5113
 
3.8%
d 4417
 
3.3%
Other values (61) 40722
30.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 135474
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
28098
20.7%
e 11242
 
8.3%
i 8096
 
6.0%
n 7882
 
5.8%
a 7768
 
5.7%
s 7641
 
5.6%
t 7404
 
5.5%
o 7091
 
5.2%
r 5113
 
3.8%
d 4417
 
3.3%
Other values (61) 40722
30.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 135474
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
28098
20.7%
e 11242
 
8.3%
i 8096
 
6.0%
n 7882
 
5.8%
a 7768
 
5.7%
s 7641
 
5.6%
t 7404
 
5.5%
o 7091
 
5.2%
r 5113
 
3.8%
d 4417
 
3.3%
Other values (61) 40722
30.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 135474
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
28098
20.7%
e 11242
 
8.3%
i 8096
 
6.0%
n 7882
 
5.8%
a 7768
 
5.7%
s 7641
 
5.6%
t 7404
 
5.5%
o 7091
 
5.2%
r 5113
 
3.8%
d 4417
 
3.3%
Other values (61) 40722
30.1%

Violation Memo - 16
Text

Missing 

Distinct229
Distinct (%)58.9%
Missing46830
Missing (%)99.2%
Memory size1.5 MiB
2025-04-10T20:10:21.064904image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length327
Median length89
Mean length48.989717
Min length4

Characters and Unicode

Total characters19057
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)22.1%

Sample

1st rowCLEAN ALL FOOD CONTACT SURFACES
2nd rowS. LETTUCE 66.7, S. TOM 65.2 & ARTICHOKE 61.1
3rd rowPROVIDE FOR ALL
4th rowRepair leak from ice maker
5th rowLABEL LARGE CONTAINER
ValueCountFrequency (%)
in 119
 
3.8%
food 75
 
2.4%
provide 64
 
2.0%
hand 64
 
2.0%
clean 58
 
1.8%
on 57
 
1.8%
and 56
 
1.8%
sink 51
 
1.6%
all 48
 
1.5%
observed 44
 
1.4%
Other values (602) 2532
79.9%
2025-04-10T20:10:21.349988image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2822
 
14.8%
e 1462
 
7.7%
o 1113
 
5.8%
n 954
 
5.0%
s 933
 
4.9%
r 917
 
4.8%
a 899
 
4.7%
i 892
 
4.7%
t 858
 
4.5%
d 602
 
3.2%
Other values (62) 7605
39.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 19057
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2822
 
14.8%
e 1462
 
7.7%
o 1113
 
5.8%
n 954
 
5.0%
s 933
 
4.9%
r 917
 
4.8%
a 899
 
4.7%
i 892
 
4.7%
t 858
 
4.5%
d 602
 
3.2%
Other values (62) 7605
39.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 19057
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2822
 
14.8%
e 1462
 
7.7%
o 1113
 
5.8%
n 954
 
5.0%
s 933
 
4.9%
r 917
 
4.8%
a 899
 
4.7%
i 892
 
4.7%
t 858
 
4.5%
d 602
 
3.2%
Other values (62) 7605
39.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 19057
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2822
 
14.8%
e 1462
 
7.7%
o 1113
 
5.8%
n 954
 
5.0%
s 933
 
4.9%
r 917
 
4.8%
a 899
 
4.7%
i 892
 
4.7%
t 858
 
4.5%
d 602
 
3.2%
Other values (62) 7605
39.9%
Distinct89
Distinct (%)34.6%
Missing46962
Missing (%)99.5%
Memory size1.5 MiB
2025-04-10T20:10:21.506509image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length67
Mean length46.953307
Min length16

Characters and Unicode

Total characters12067
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)12.1%

Sample

1st row*42 Floors/walls/ceiling/nonfood dirty
2nd row*39 Store all equipment & utensil covered or inverted
3rd row*28 Do not exceed manuf. use by date
4th row*07 Food safe, good condition, unadulterated, and honestly presented
5th row*14 When to wash hands before donning new gloves
ValueCountFrequency (%)
food 92
 
4.8%
40
 
2.1%
in 38
 
2.0%
of 33
 
1.7%
or 28
 
1.5%
45 26
 
1.4%
repair 26
 
1.4%
the 26
 
1.4%
be 25
 
1.3%
good 25
 
1.3%
Other values (357) 1553
81.2%
2025-04-10T20:10:21.755349image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1700
14.1%
e 1011
 
8.4%
o 918
 
7.6%
n 753
 
6.2%
i 733
 
6.1%
t 657
 
5.4%
s 651
 
5.4%
a 646
 
5.4%
r 545
 
4.5%
d 440
 
3.6%
Other values (62) 4013
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 12067
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1700
14.1%
e 1011
 
8.4%
o 918
 
7.6%
n 753
 
6.2%
i 733
 
6.1%
t 657
 
5.4%
s 651
 
5.4%
a 646
 
5.4%
r 545
 
4.5%
d 440
 
3.6%
Other values (62) 4013
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 12067
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1700
14.1%
e 1011
 
8.4%
o 918
 
7.6%
n 753
 
6.2%
i 733
 
6.1%
t 657
 
5.4%
s 651
 
5.4%
a 646
 
5.4%
r 545
 
4.5%
d 440
 
3.6%
Other values (62) 4013
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 12067
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1700
14.1%
e 1011
 
8.4%
o 918
 
7.6%
n 753
 
6.2%
i 733
 
6.1%
t 657
 
5.4%
s 651
 
5.4%
a 646
 
5.4%
r 545
 
4.5%
d 440
 
3.6%
Other values (62) 4013
33.3%

Violation Points - 17
Categorical

High correlation  Missing 

Distinct3
Distinct (%)1.2%
Missing46962
Missing (%)99.5%
Memory size2.9 MiB
1.0
175 
2.0
42 
3.0
40 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters771
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 175
 
0.4%
2.0 42
 
0.1%
3.0 40
 
0.1%
(Missing) 46962
99.5%

Length

2025-04-10T20:10:21.850254image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:21.920370image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 175
68.1%
2.0 42
 
16.3%
3.0 40
 
15.6%

Most occurring characters

ValueCountFrequency (%)
. 257
33.3%
0 257
33.3%
1 175
22.7%
2 42
 
5.4%
3 40
 
5.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 771
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 257
33.3%
0 257
33.3%
1 175
22.7%
2 42
 
5.4%
3 40
 
5.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 771
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 257
33.3%
0 257
33.3%
1 175
22.7%
2 42
 
5.4%
3 40
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 771
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 257
33.3%
0 257
33.3%
1 175
22.7%
2 42
 
5.4%
3 40
 
5.2%

Violation Detail - 17
Text

Missing 

Distinct89
Distinct (%)35.2%
Missing46966
Missing (%)99.5%
Memory size1.5 MiB
2025-04-10T20:10:22.060165image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length829
Median length482
Mean length349.99209
Min length148

Characters and Unicode

Total characters88548
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)12.6%

Sample

1st row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
2nd row228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (2) Clean equipment and utensils shall be stored as specified under paragraph (1) of this subsection and shall be stored: (B) covered or inverted.
3rd row228.75 Food. Time and temperature control. (g) Ready-to-eat TCS food, date marking. (4) A date marking system that meets the criteria stated in paragraphs (1) and (2) of this subsection may include: (B) marking the date or day of preparation, with a procedure to discard the food on or before the last date or day by which the food must be consumed on the premises, sold, or discarded as specified in paragraph (1) of this subsection;
4th row228.61 Food. Condition safe, unadulterated, and honestly presented. Food shall be safe, unadulterated, and, as specified in õ228.78(b) of this title, honestly presented.
5th row228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (8) before donning gloves to initiate a task that involves working with food; and
ValueCountFrequency (%)
and 689
 
5.7%
food 538
 
4.4%
the 412
 
3.4%
of 395
 
3.3%
a 307
 
2.5%
shall 283
 
2.3%
be 256
 
2.1%
in 244
 
2.0%
equipment 210
 
1.7%
or 209
 
1.7%
Other values (926) 8593
70.8%
2025-04-10T20:10:22.330455image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18143
20.5%
e 7421
 
8.4%
i 5353
 
6.0%
a 5250
 
5.9%
n 5173
 
5.8%
s 4903
 
5.5%
o 4839
 
5.5%
t 4778
 
5.4%
r 3462
 
3.9%
d 2982
 
3.4%
Other values (61) 26244
29.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 88548
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
18143
20.5%
e 7421
 
8.4%
i 5353
 
6.0%
a 5250
 
5.9%
n 5173
 
5.8%
s 4903
 
5.5%
o 4839
 
5.5%
t 4778
 
5.4%
r 3462
 
3.9%
d 2982
 
3.4%
Other values (61) 26244
29.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 88548
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
18143
20.5%
e 7421
 
8.4%
i 5353
 
6.0%
a 5250
 
5.9%
n 5173
 
5.8%
s 4903
 
5.5%
o 4839
 
5.5%
t 4778
 
5.4%
r 3462
 
3.9%
d 2982
 
3.4%
Other values (61) 26244
29.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 88548
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
18143
20.5%
e 7421
 
8.4%
i 5353
 
6.0%
a 5250
 
5.9%
n 5173
 
5.8%
s 4903
 
5.5%
o 4839
 
5.5%
t 4778
 
5.4%
r 3462
 
3.9%
d 2982
 
3.4%
Other values (61) 26244
29.6%

Violation Memo - 17
Text

Missing 

Distinct149
Distinct (%)63.1%
Missing46983
Missing (%)99.5%
Memory size1.5 MiB
2025-04-10T20:10:22.505256image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length225
Median length80.5
Mean length48.377119
Min length9

Characters and Unicode

Total characters11417
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)27.5%

Sample

1st rowCLEAN FLOORS , WALLS & DRAINS ( FAN)
2nd rowINVERT / COVER ALL DISH WARE
3rd rowYOGURT FROM 5/21
4th rowDiscard dented cans
5th rowDONNING GLOVES WITHOUT WASHING HANDS & LACKING OF HAND WASHING
ValueCountFrequency (%)
in 57
 
3.0%
food 42
 
2.2%
and 40
 
2.1%
on 39
 
2.0%
sink 31
 
1.6%
hand 30
 
1.6%
floor 27
 
1.4%
for 27
 
1.4%
the 27
 
1.4%
clean 27
 
1.4%
Other values (454) 1566
81.9%
2025-04-10T20:10:22.780411image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1706
 
14.9%
e 846
 
7.4%
o 689
 
6.0%
n 572
 
5.0%
i 515
 
4.5%
a 510
 
4.5%
s 492
 
4.3%
r 488
 
4.3%
t 475
 
4.2%
l 363
 
3.2%
Other values (59) 4761
41.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11417
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1706
 
14.9%
e 846
 
7.4%
o 689
 
6.0%
n 572
 
5.0%
i 515
 
4.5%
a 510
 
4.5%
s 492
 
4.3%
r 488
 
4.3%
t 475
 
4.2%
l 363
 
3.2%
Other values (59) 4761
41.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11417
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1706
 
14.9%
e 846
 
7.4%
o 689
 
6.0%
n 572
 
5.0%
i 515
 
4.5%
a 510
 
4.5%
s 492
 
4.3%
r 488
 
4.3%
t 475
 
4.2%
l 363
 
3.2%
Other values (59) 4761
41.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11417
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1706
 
14.9%
e 846
 
7.4%
o 689
 
6.0%
n 572
 
5.0%
i 515
 
4.5%
a 510
 
4.5%
s 492
 
4.3%
r 488
 
4.3%
t 475
 
4.2%
l 363
 
3.2%
Other values (59) 4761
41.7%
Distinct60
Distinct (%)40.3%
Missing47070
Missing (%)99.7%
Memory size1.5 MiB
2025-04-10T20:10:22.900030image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length56
Mean length48.281879
Min length13

Characters and Unicode

Total characters7194
Distinct characters68
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)14.8%

Sample

1st row*18 Toxic items labeling-non original container
2nd row*32 Damaged Equipment
3rd row*44 Trash can provided for papertowel waste
4th row*41 Food storage containers, identified with common name of food.
5th row*42 Floors/walls/ceiling/nonfood dirty
ValueCountFrequency (%)
food 55
 
4.8%
21
 
1.8%
in 20
 
1.8%
for 17
 
1.5%
cross 15
 
1.3%
light 15
 
1.3%
45 14
 
1.2%
or 13
 
1.1%
provided 13
 
1.1%
43 13
 
1.1%
Other values (270) 942
82.8%
2025-04-10T20:10:23.100458image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1014
14.1%
e 625
 
8.7%
o 510
 
7.1%
i 437
 
6.1%
n 403
 
5.6%
t 399
 
5.5%
a 389
 
5.4%
s 389
 
5.4%
r 379
 
5.3%
d 252
 
3.5%
Other values (58) 2397
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7194
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1014
14.1%
e 625
 
8.7%
o 510
 
7.1%
i 437
 
6.1%
n 403
 
5.6%
t 399
 
5.5%
a 389
 
5.4%
s 389
 
5.4%
r 379
 
5.3%
d 252
 
3.5%
Other values (58) 2397
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7194
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1014
14.1%
e 625
 
8.7%
o 510
 
7.1%
i 437
 
6.1%
n 403
 
5.6%
t 399
 
5.5%
a 389
 
5.4%
s 389
 
5.4%
r 379
 
5.3%
d 252
 
3.5%
Other values (58) 2397
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7194
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1014
14.1%
e 625
 
8.7%
o 510
 
7.1%
i 437
 
6.1%
n 403
 
5.6%
t 399
 
5.5%
a 389
 
5.4%
s 389
 
5.4%
r 379
 
5.3%
d 252
 
3.5%
Other values (58) 2397
33.3%

Violation Points - 18
Categorical

High correlation  Missing 

Distinct3
Distinct (%)2.0%
Missing47070
Missing (%)99.7%
Memory size2.9 MiB
1.0
92 
3.0
35 
2.0
22 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters447
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 92
 
0.2%
3.0 35
 
0.1%
2.0 22
 
< 0.1%
(Missing) 47070
99.7%

Length

2025-04-10T20:10:23.200148image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:23.260229image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 92
61.7%
3.0 35
 
23.5%
2.0 22
 
14.8%

Most occurring characters

ValueCountFrequency (%)
. 149
33.3%
0 149
33.3%
1 92
20.6%
3 35
 
7.8%
2 22
 
4.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 447
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 149
33.3%
0 149
33.3%
1 92
20.6%
3 35
 
7.8%
2 22
 
4.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 447
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 149
33.3%
0 149
33.3%
1 92
20.6%
3 35
 
7.8%
2 22
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 447
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 149
33.3%
0 149
33.3%
1 92
20.6%
3 35
 
7.8%
2 22
 
4.9%

Violation Detail - 18
Text

Missing 

Distinct60
Distinct (%)41.4%
Missing47074
Missing (%)99.7%
Memory size1.5 MiB
2025-04-10T20:10:23.402366image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length829
Median length439
Mean length363.04138
Min length125

Characters and Unicode

Total characters52641
Distinct characters68
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)16.6%

Sample

1st row228.202 Poisonous or Toxic Materials. Working containers, common name. Working containers used for storing poisonous or toxic materials such as cleaners and sanitizers taken from bulk supplies shall be clearly and individually identified with the common name of the material.
2nd row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;
3rd row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (g) Storage areas, rooms, and receptacles, capacity and availability. (3) If disposable towels are used at handwashing lavatories, a waste receptacle shall be located at each lavatory or group of adjacent lavatories.
4th row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
5th row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
ValueCountFrequency (%)
and 420
 
5.8%
food 320
 
4.4%
of 222
 
3.0%
the 208
 
2.8%
a 196
 
2.7%
shall 162
 
2.2%
in 142
 
1.9%
be 137
 
1.9%
equipment 121
 
1.7%
or 118
 
1.6%
Other values (701) 5258
72.0%
2025-04-10T20:10:23.673532image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10714
20.4%
e 4466
 
8.5%
a 3255
 
6.2%
i 3064
 
5.8%
n 2997
 
5.7%
o 2857
 
5.4%
s 2841
 
5.4%
t 2835
 
5.4%
r 2167
 
4.1%
d 1817
 
3.5%
Other values (58) 15628
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 52641
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
10714
20.4%
e 4466
 
8.5%
a 3255
 
6.2%
i 3064
 
5.8%
n 2997
 
5.7%
o 2857
 
5.4%
s 2841
 
5.4%
t 2835
 
5.4%
r 2167
 
4.1%
d 1817
 
3.5%
Other values (58) 15628
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 52641
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
10714
20.4%
e 4466
 
8.5%
a 3255
 
6.2%
i 3064
 
5.8%
n 2997
 
5.7%
o 2857
 
5.4%
s 2841
 
5.4%
t 2835
 
5.4%
r 2167
 
4.1%
d 1817
 
3.5%
Other values (58) 15628
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 52641
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
10714
20.4%
e 4466
 
8.5%
a 3255
 
6.2%
i 3064
 
5.8%
n 2997
 
5.7%
o 2857
 
5.4%
s 2841
 
5.4%
t 2835
 
5.4%
r 2167
 
4.1%
d 1817
 
3.5%
Other values (58) 15628
29.7%

Violation Memo - 18
Text

Missing 

Distinct85
Distinct (%)63.9%
Missing47086
Missing (%)99.7%
Memory size1.5 MiB
2025-04-10T20:10:23.814104image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length116
Median length66
Mean length48.781955
Min length7

Characters and Unicode

Total characters6488
Distinct characters66
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)27.8%

Sample

1st rowLABEL ALL TOXICS ITEMS (SPRAY BOTTLE)
2nd rowREMOVE RUST FROM PREP AREA & REPLACE CUTTING BOARDS
3rd rowPROVIDE
4th rowsalt shakers and squeeze bottles not labeled with name of contents.
5th rowfloors, walls and ceiling dirty with soils and grease accumulations must be clean to avoid cross contamination
ValueCountFrequency (%)
in 33
 
3.0%
food 33
 
3.0%
on 31
 
2.9%
and 25
 
2.3%
of 21
 
1.9%
the 21
 
1.9%
all 16
 
1.5%
provide 16
 
1.5%
clean 14
 
1.3%
observed 14
 
1.3%
Other values (298) 863
79.4%
2025-04-10T20:10:24.060544image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
968
 
14.9%
e 556
 
8.6%
o 413
 
6.4%
a 317
 
4.9%
t 314
 
4.8%
r 307
 
4.7%
n 296
 
4.6%
s 282
 
4.3%
i 263
 
4.1%
d 216
 
3.3%
Other values (56) 2556
39.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6488
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
968
 
14.9%
e 556
 
8.6%
o 413
 
6.4%
a 317
 
4.9%
t 314
 
4.8%
r 307
 
4.7%
n 296
 
4.6%
s 282
 
4.3%
i 263
 
4.1%
d 216
 
3.3%
Other values (56) 2556
39.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6488
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
968
 
14.9%
e 556
 
8.6%
o 413
 
6.4%
a 317
 
4.9%
t 314
 
4.8%
r 307
 
4.7%
n 296
 
4.6%
s 282
 
4.3%
i 263
 
4.1%
d 216
 
3.3%
Other values (56) 2556
39.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6488
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
968
 
14.9%
e 556
 
8.6%
o 413
 
6.4%
a 317
 
4.9%
t 314
 
4.8%
r 307
 
4.7%
n 296
 
4.6%
s 282
 
4.3%
i 263
 
4.1%
d 216
 
3.3%
Other values (56) 2556
39.4%

Violation Description - 19
Categorical

High correlation  Missing 

Distinct41
Distinct (%)45.1%
Missing47128
Missing (%)99.8%
Memory size2.9 MiB
*45 Premises shall be maintained in good repair
*43 Clean vent syst:Intake/exhaust air ducts
*46 Covered waste receptacle for women's restroom
 
5
*20 Grease Trap Tickets
 
4
*03 Food products not maintained at 135øF or above
 
3
Other values (36)
63 

Length

Max length100
Median length66
Mean length46.241758
Min length20

Characters and Unicode

Total characters4208
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)12.1%

Sample

1st row*10 Clean Sight and Touch
2nd row*03 Food products not maintained at 135øF or above
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*18 First aid kit not to contaminate food, utensil
5th row*43 Clean vent syst:Intake/exhaust air ducts

Common Values

ValueCountFrequency (%)
*45 Premises shall be maintained in good repair 8
 
< 0.1%
*43 Clean vent syst:Intake/exhaust air ducts 8
 
< 0.1%
*46 Covered waste receptacle for women's restroom 5
 
< 0.1%
*20 Grease Trap Tickets 4
 
< 0.1%
*03 Food products not maintained at 135øF or above 3
 
< 0.1%
*42 Floors/walls/ceiling/nonfood dirty 3
 
< 0.1%
*42 Dirty nonfood contact surfaces 3
 
< 0.1%
*34 Pest control-routine inspections for 2
 
< 0.1%
*21 Being a certified food protection manager who has shown proficiency of required information thro 2
 
< 0.1%
*37 Food shall be protected from contamination by storing the food in a clean, dry location 2
 
< 0.1%
Other values (31) 51
 
0.1%
(Missing) 47128
99.8%

Length

2025-04-10T20:10:24.175524image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
food 28
 
4.3%
14
 
2.2%
in 13
 
2.0%
clean 12
 
1.9%
45 11
 
1.7%
43 11
 
1.7%
maintained 11
 
1.7%
premises 10
 
1.5%
shall 10
 
1.5%
be 10
 
1.5%
Other values (193) 517
79.9%

Most occurring characters

ValueCountFrequency (%)
570
13.5%
e 349
 
8.3%
o 298
 
7.1%
i 269
 
6.4%
n 253
 
6.0%
t 246
 
5.8%
s 239
 
5.7%
a 238
 
5.7%
r 210
 
5.0%
d 141
 
3.4%
Other values (59) 1395
33.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4208
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
570
13.5%
e 349
 
8.3%
o 298
 
7.1%
i 269
 
6.4%
n 253
 
6.0%
t 246
 
5.8%
s 239
 
5.7%
a 238
 
5.7%
r 210
 
5.0%
d 141
 
3.4%
Other values (59) 1395
33.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4208
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
570
13.5%
e 349
 
8.3%
o 298
 
7.1%
i 269
 
6.4%
n 253
 
6.0%
t 246
 
5.8%
s 239
 
5.7%
a 238
 
5.7%
r 210
 
5.0%
d 141
 
3.4%
Other values (59) 1395
33.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4208
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
570
13.5%
e 349
 
8.3%
o 298
 
7.1%
i 269
 
6.4%
n 253
 
6.0%
t 246
 
5.8%
s 239
 
5.7%
a 238
 
5.7%
r 210
 
5.0%
d 141
 
3.4%
Other values (59) 1395
33.2%

Violation Points - 19
Categorical

High correlation  Missing 

Distinct3
Distinct (%)3.3%
Missing47128
Missing (%)99.8%
Memory size2.9 MiB
1.0
59 
3.0
21 
2.0
11 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters273
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 59
 
0.1%
3.0 21
 
< 0.1%
2.0 11
 
< 0.1%
(Missing) 47128
99.8%

Length

2025-04-10T20:10:24.255604image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:24.315476image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 59
64.8%
3.0 21
 
23.1%
2.0 11
 
12.1%

Most occurring characters

ValueCountFrequency (%)
. 91
33.3%
0 91
33.3%
1 59
21.6%
3 21
 
7.7%
2 11
 
4.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 273
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 91
33.3%
0 91
33.3%
1 59
21.6%
3 21
 
7.7%
2 11
 
4.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 273
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 91
33.3%
0 91
33.3%
1 59
21.6%
3 21
 
7.7%
2 11
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 273
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 91
33.3%
0 91
33.3%
1 59
21.6%
3 21
 
7.7%
2 11
 
4.0%

Violation Detail - 19
Categorical

High correlation  Missing 

Distinct40
Distinct (%)44.4%
Missing47129
Missing (%)99.8%
Memory size2.9 MiB
228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.
228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (h) Toilet room receptacle, covered. A toilet room used by females shall be provided with a covered receptacle for sanitary napkins.
 
5
Ch.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
 
4
228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit);
 
3
Other values (35)
62 

Length

Max length815
Median length411
Mean length347.12222
Min length205

Characters and Unicode

Total characters31241
Distinct characters70
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)11.1%

Sample

1st row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
2nd row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit);
3rd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
4th row228.211 Poisonous or Toxic Materials. First aid supplies, storage. First aid supplies that are in a food establishment for the employees# use shall be: (2) stored in a kit or a container that is located to prevent the contamination of food, equipment, utensils, and linens, and single-service and single-use articles.
5th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.

Common Values

ValueCountFrequency (%)
228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair. 8
 
< 0.1%
228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials. 8
 
< 0.1%
228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (h) Toilet room receptacle, covered. A toilet room used by females shall be provided with a covered receptacle for sanitary napkins. 5
 
< 0.1%
Ch.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time. 4
 
< 0.1%
228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit); 3
 
< 0.1%
228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues. 3
 
< 0.1%
228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris. 3
 
< 0.1%
228.112 Equipment, Utensils, and Linens. Utensils and Temperature and Pressure Measuring Devices. (c) Single-service and single-use articles use limitation. (1) Single-service and single-use articles may not be reused. 2
 
< 0.1%
228.174 Physical Facilities. Functionality. (a) Light bulbs, protective shielding. (1) Except as specified in paragraph (2) of this subsection, light bulbs shall be shielded, coated, or otherwise shatter-resistant in areas where there is exposed food; clean equipment, utensils, and linens; or unwrapped single-service and single-use articles. 2
 
< 0.1%
228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch. 2
 
< 0.1%
Other values (30) 50
 
0.1%
(Missing) 47129
99.8%

Length

2025-04-10T20:10:24.405591image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
and 257
 
6.0%
food 137
 
3.2%
of 127
 
3.0%
the 123
 
2.9%
a 115
 
2.7%
shall 100
 
2.3%
be 90
 
2.1%
equipment 80
 
1.9%
in 73
 
1.7%
or 63
 
1.5%
Other values (550) 3112
72.8%

Most occurring characters

ValueCountFrequency (%)
6346
20.3%
e 2682
 
8.6%
i 1872
 
6.0%
a 1840
 
5.9%
s 1800
 
5.8%
n 1744
 
5.6%
t 1675
 
5.4%
o 1574
 
5.0%
r 1288
 
4.1%
d 1059
 
3.4%
Other values (60) 9361
30.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 31241
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
6346
20.3%
e 2682
 
8.6%
i 1872
 
6.0%
a 1840
 
5.9%
s 1800
 
5.8%
n 1744
 
5.6%
t 1675
 
5.4%
o 1574
 
5.0%
r 1288
 
4.1%
d 1059
 
3.4%
Other values (60) 9361
30.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 31241
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
6346
20.3%
e 2682
 
8.6%
i 1872
 
6.0%
a 1840
 
5.9%
s 1800
 
5.8%
n 1744
 
5.6%
t 1675
 
5.4%
o 1574
 
5.0%
r 1288
 
4.1%
d 1059
 
3.4%
Other values (60) 9361
30.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 31241
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
6346
20.3%
e 2682
 
8.6%
i 1872
 
6.0%
a 1840
 
5.9%
s 1800
 
5.8%
n 1744
 
5.6%
t 1675
 
5.4%
o 1574
 
5.0%
r 1288
 
4.1%
d 1059
 
3.4%
Other values (60) 9361
30.0%

Violation Memo - 19
Text

Missing 

Distinct52
Distinct (%)64.2%
Missing47138
Missing (%)99.8%
Memory size1.4 MiB
2025-04-10T20:10:24.560434image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length245
Median length66
Mean length49.271605
Min length9

Characters and Unicode

Total characters3991
Distinct characters66
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)29.6%

Sample

1st rowUNSANITARY CONDITIONS- DEEP CLEAN EVERYTHING
2nd rowBEANS 89*F SITTING ON STOVE
3rd rowric grime build up, grime on walls and floors, grime on intake vents.
4th rowmissing first aid kit on site must be have first aid kit on site
5th rowAir intake vents soiled
ValueCountFrequency (%)
clean 17
 
2.6%
on 16
 
2.4%
food 15
 
2.3%
floor 15
 
2.3%
and 15
 
2.3%
to 11
 
1.7%
grease 10
 
1.5%
no 10
 
1.5%
not 10
 
1.5%
in 9
 
1.4%
Other values (227) 528
80.5%
2025-04-10T20:10:24.830299image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
586
14.7%
e 353
 
8.8%
o 283
 
7.1%
r 227
 
5.7%
s 209
 
5.2%
n 205
 
5.1%
a 201
 
5.0%
t 176
 
4.4%
i 172
 
4.3%
d 145
 
3.6%
Other values (56) 1434
35.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3991
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
586
14.7%
e 353
 
8.8%
o 283
 
7.1%
r 227
 
5.7%
s 209
 
5.2%
n 205
 
5.1%
a 201
 
5.0%
t 176
 
4.4%
i 172
 
4.3%
d 145
 
3.6%
Other values (56) 1434
35.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3991
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
586
14.7%
e 353
 
8.8%
o 283
 
7.1%
r 227
 
5.7%
s 209
 
5.2%
n 205
 
5.1%
a 201
 
5.0%
t 176
 
4.4%
i 172
 
4.3%
d 145
 
3.6%
Other values (56) 1434
35.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3991
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
586
14.7%
e 353
 
8.8%
o 283
 
7.1%
r 227
 
5.7%
s 209
 
5.2%
n 205
 
5.1%
a 201
 
5.0%
t 176
 
4.4%
i 172
 
4.3%
d 145
 
3.6%
Other values (56) 1434
35.9%

Violation Description - 20
Categorical

High correlation  Missing 

Distinct26
Distinct (%)48.1%
Missing47165
Missing (%)99.9%
Memory size2.9 MiB
*47 Handwashing signage
*45 Premises shall be maintained in good repair
*47 Other Violations
*42 Floors/walls/ceiling/nonfood dirty
*47 Conditions of Permit-in use of food equipment
 
3
Other values (21)
34 

Length

Max length99
Median length50
Mean length39.740741
Min length20

Characters and Unicode

Total characters2146
Distinct characters66
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)18.5%

Sample

1st row*42 Floors/walls/ceiling/nonfood dirty
2nd row*37 Unpackaged food may not be stored in direct contact with undrained ice
3rd row*43 Clean vent syst:Intake/exhaust air ducts
4th row*44 Location of refuse/recycling storage areas
5th row*37 Food protected from cross contamination by storing the food in packages, covered containers, or

Common Values

ValueCountFrequency (%)
*47 Handwashing signage 5
 
< 0.1%
*45 Premises shall be maintained in good repair 4
 
< 0.1%
*47 Other Violations 4
 
< 0.1%
*42 Floors/walls/ceiling/nonfood dirty 4
 
< 0.1%
*47 Conditions of Permit-in use of food equipment 3
 
< 0.1%
*20 Grease Trap Tickets 3
 
< 0.1%
*45 Walls and ceilings, studs, joists, and rafters 3
 
< 0.1%
*10 Clean Sight and Touch 2
 
< 0.1%
*46 Covered waste receptacle for women's restroom 2
 
< 0.1%
*02 Cold Hold (41øF/45øF or below) 2
 
< 0.1%
Other values (16) 22
 
< 0.1%
(Missing) 47165
99.9%

Length

2025-04-10T20:10:24.944399image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
47 12
 
3.7%
food 10
 
3.1%
of 10
 
3.1%
and 8
 
2.4%
45 7
 
2.1%
grease 7
 
2.1%
in 7
 
2.1%
5
 
1.5%
signage 5
 
1.5%
be 5
 
1.5%
Other values (126) 251
76.8%

Most occurring characters

ValueCountFrequency (%)
278
 
13.0%
e 170
 
7.9%
o 152
 
7.1%
i 138
 
6.4%
n 133
 
6.2%
s 118
 
5.5%
a 116
 
5.4%
t 111
 
5.2%
r 107
 
5.0%
d 87
 
4.1%
Other values (56) 736
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2146
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
278
 
13.0%
e 170
 
7.9%
o 152
 
7.1%
i 138
 
6.4%
n 133
 
6.2%
s 118
 
5.5%
a 116
 
5.4%
t 111
 
5.2%
r 107
 
5.0%
d 87
 
4.1%
Other values (56) 736
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2146
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
278
 
13.0%
e 170
 
7.9%
o 152
 
7.1%
i 138
 
6.4%
n 133
 
6.2%
s 118
 
5.5%
a 116
 
5.4%
t 111
 
5.2%
r 107
 
5.0%
d 87
 
4.1%
Other values (56) 736
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2146
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
278
 
13.0%
e 170
 
7.9%
o 152
 
7.1%
i 138
 
6.4%
n 133
 
6.2%
s 118
 
5.5%
a 116
 
5.4%
t 111
 
5.2%
r 107
 
5.0%
d 87
 
4.1%
Other values (56) 736
34.3%

Violation Points - 20
Categorical

High correlation  Missing 

Distinct3
Distinct (%)5.6%
Missing47165
Missing (%)99.9%
Memory size2.9 MiB
1.0
39 
3.0
10 
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters162
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 39
 
0.1%
3.0 10
 
< 0.1%
2.0 5
 
< 0.1%
(Missing) 47165
99.9%

Length

2025-04-10T20:10:25.027931image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:25.090414image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 39
72.2%
3.0 10
 
18.5%
2.0 5
 
9.3%

Most occurring characters

ValueCountFrequency (%)
. 54
33.3%
0 54
33.3%
1 39
24.1%
3 10
 
6.2%
2 5
 
3.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 162
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 54
33.3%
0 54
33.3%
1 39
24.1%
3 10
 
6.2%
2 5
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 162
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 54
33.3%
0 54
33.3%
1 39
24.1%
3 10
 
6.2%
2 5
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 162
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 54
33.3%
0 54
33.3%
1 39
24.1%
3 10
 
6.2%
2 5
 
3.1%

Violation Detail - 20
Text

Missing 

Distinct25
Distinct (%)50.0%
Missing47169
Missing (%)99.9%
Memory size1.5 MiB
2025-04-10T20:10:25.215343image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length569
Median length432
Mean length324.26
Min length205

Characters and Unicode

Total characters16213
Distinct characters67
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)20.0%

Sample

1st row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
2nd row228.67 Food. Preventing contamination from ice used as a coolant. (b) Storage or display of food in contact with water or ice. (2) Except as specified in paragraphs (3) and (4) of this subsection, unpackaged food may not be stored in direct contact with undrained ice.
3rd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.
4th row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (j) Storage areas, redeeming machines, receptacles, and waste handling units, location. (1) An area designated for refuse, recyclables, returnables, and, except as specified in paragraph (2) of this subsection, a redeeming machine for recyclables or returnables shall be located so that it is separate from food, equipment, utensils, linens, and single-service and single-use articles and a public health hazard or nuisance is not created.
5th row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (D) except as specified in õ228.75(e)(2)(B) of this title and paragraph (2) of this subsection, storing the food in packages, covered containers, or wrappings;
ValueCountFrequency (%)
and 118
 
5.4%
food 84
 
3.8%
the 74
 
3.4%
of 67
 
3.0%
shall 53
 
2.4%
a 52
 
2.4%
be 45
 
2.0%
in 42
 
1.9%
equipment 39
 
1.8%
to 34
 
1.5%
Other values (386) 1594
72.4%
2025-04-10T20:10:25.625400image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3256
20.1%
e 1381
 
8.5%
s 977
 
6.0%
a 926
 
5.7%
i 918
 
5.7%
t 909
 
5.6%
n 889
 
5.5%
o 871
 
5.4%
r 615
 
3.8%
l 545
 
3.4%
Other values (57) 4926
30.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 16213
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3256
20.1%
e 1381
 
8.5%
s 977
 
6.0%
a 926
 
5.7%
i 918
 
5.7%
t 909
 
5.6%
n 889
 
5.5%
o 871
 
5.4%
r 615
 
3.8%
l 545
 
3.4%
Other values (57) 4926
30.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 16213
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3256
20.1%
e 1381
 
8.5%
s 977
 
6.0%
a 926
 
5.7%
i 918
 
5.7%
t 909
 
5.6%
n 889
 
5.5%
o 871
 
5.4%
r 615
 
3.8%
l 545
 
3.4%
Other values (57) 4926
30.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 16213
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3256
20.1%
e 1381
 
8.5%
s 977
 
6.0%
a 926
 
5.7%
i 918
 
5.7%
t 909
 
5.6%
n 889
 
5.5%
o 871
 
5.4%
r 615
 
3.8%
l 545
 
3.4%
Other values (57) 4926
30.4%

Violation Memo - 20
Text

Missing 

Distinct36
Distinct (%)70.6%
Missing47168
Missing (%)99.9%
Memory size1.4 MiB
2025-04-10T20:10:25.785516image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length92
Median length55
Mean length44.333333
Min length17

Characters and Unicode

Total characters2261
Distinct characters64
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)41.2%

Sample

1st rowCLEAN FRPS, WALLS, FLOORS, FAN VENT COVERS & GASKETS
2nd rowLETTUCE STORED IN STANDING WATER
3rd rowdust on intake vents.
4th rowarticles with undesigned areas creating public health nuisance
5th rowCOVER ALL FOOD ITEMS
ValueCountFrequency (%)
hand 13
 
3.4%
no 11
 
2.9%
on 10
 
2.6%
sign 10
 
2.6%
in 7
 
1.8%
grease 6
 
1.6%
food 6
 
1.6%
available 6
 
1.6%
clean 6
 
1.6%
of 6
 
1.6%
Other values (145) 304
79.0%
2025-04-10T20:10:26.040689image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
342
 
15.1%
e 149
 
6.6%
o 134
 
5.9%
i 132
 
5.8%
n 126
 
5.6%
s 107
 
4.7%
a 105
 
4.6%
t 103
 
4.6%
r 75
 
3.3%
l 66
 
2.9%
Other values (54) 922
40.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2261
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
342
 
15.1%
e 149
 
6.6%
o 134
 
5.9%
i 132
 
5.8%
n 126
 
5.6%
s 107
 
4.7%
a 105
 
4.6%
t 103
 
4.6%
r 75
 
3.3%
l 66
 
2.9%
Other values (54) 922
40.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2261
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
342
 
15.1%
e 149
 
6.6%
o 134
 
5.9%
i 132
 
5.8%
n 126
 
5.6%
s 107
 
4.7%
a 105
 
4.6%
t 103
 
4.6%
r 75
 
3.3%
l 66
 
2.9%
Other values (54) 922
40.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2261
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
342
 
15.1%
e 149
 
6.6%
o 134
 
5.9%
i 132
 
5.8%
n 126
 
5.6%
s 107
 
4.7%
a 105
 
4.6%
t 103
 
4.6%
r 75
 
3.3%
l 66
 
2.9%
Other values (54) 922
40.8%
Distinct20
Distinct (%)55.6%
Missing47183
Missing (%)99.9%
Memory size1.4 MiB
2025-04-10T20:10:26.185646image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length49
Mean length48.138889
Min length20

Characters and Unicode

Total characters1733
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)25.0%

Sample

1st row*31 Handwashing lavatory - used for other purpose
2nd row*45 Premises shall be maintained in good repair
3rd row*02 Cold Hold (41øF/45øF or below)
4th row*04 Fruits, vegetables or other plant based foods cooked to a minimum of 135øF for hot holding
5th row*47 Other Violations
ValueCountFrequency (%)
food 11
 
4.2%
other 9
 
3.4%
8
 
3.0%
47 7
 
2.6%
violations 6
 
2.3%
in 6
 
2.3%
premises 5
 
1.9%
of 4
 
1.5%
or 4
 
1.5%
for 4
 
1.5%
Other values (110) 201
75.8%
2025-04-10T20:10:26.420110image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
232
 
13.4%
e 142
 
8.2%
o 127
 
7.3%
a 111
 
6.4%
i 107
 
6.2%
r 100
 
5.8%
t 97
 
5.6%
s 95
 
5.5%
n 79
 
4.6%
d 59
 
3.4%
Other values (52) 584
33.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1733
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
232
 
13.4%
e 142
 
8.2%
o 127
 
7.3%
a 111
 
6.4%
i 107
 
6.2%
r 100
 
5.8%
t 97
 
5.6%
s 95
 
5.5%
n 79
 
4.6%
d 59
 
3.4%
Other values (52) 584
33.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1733
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
232
 
13.4%
e 142
 
8.2%
o 127
 
7.3%
a 111
 
6.4%
i 107
 
6.2%
r 100
 
5.8%
t 97
 
5.6%
s 95
 
5.5%
n 79
 
4.6%
d 59
 
3.4%
Other values (52) 584
33.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1733
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
232
 
13.4%
e 142
 
8.2%
o 127
 
7.3%
a 111
 
6.4%
i 107
 
6.2%
r 100
 
5.8%
t 97
 
5.6%
s 95
 
5.5%
n 79
 
4.6%
d 59
 
3.4%
Other values (52) 584
33.7%

Violation Points - 21
Categorical

High correlation  Missing 

Distinct3
Distinct (%)8.3%
Missing47183
Missing (%)99.9%
Memory size2.9 MiB
1.0
18 
3.0
10 
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters108
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row3.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 18
 
< 0.1%
3.0 10
 
< 0.1%
2.0 8
 
< 0.1%
(Missing) 47183
99.9%

Length

2025-04-10T20:10:26.511515image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:26.585509image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 18
50.0%
3.0 10
27.8%
2.0 8
22.2%

Most occurring characters

ValueCountFrequency (%)
. 36
33.3%
0 36
33.3%
1 18
16.7%
3 10
 
9.3%
2 8
 
7.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 108
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 36
33.3%
0 36
33.3%
1 18
16.7%
3 10
 
9.3%
2 8
 
7.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 108
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 36
33.3%
0 36
33.3%
1 18
16.7%
3 10
 
9.3%
2 8
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 108
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 36
33.3%
0 36
33.3%
1 18
16.7%
3 10
 
9.3%
2 8
 
7.4%

Violation Detail - 21
Text

Missing 

Distinct19
Distinct (%)61.3%
Missing47188
Missing (%)99.9%
Memory size1.5 MiB
2025-04-10T20:10:26.701633image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length592
Median length356
Mean length327.22581
Min length205

Characters and Unicode

Total characters10144
Distinct characters64
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)29.0%

Sample

1st row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (a) Using a handwashing facility. (2) A handwashing facility may not be used for purposes other than handwashing.
2nd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
3rd row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
4th row228.71 Food. Cooking. (c ) Plant food cooking for hot holding. Fruits and vegetables that are cooked for hot holding shall be cooked to a temperature of 57 degrees Celsius (135 degrees Fahrenheit).
5th rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
ValueCountFrequency (%)
and 67
 
4.8%
food 53
 
3.8%
the 45
 
3.2%
a 39
 
2.8%
of 37
 
2.7%
shall 34
 
2.4%
be 25
 
1.8%
in 20
 
1.4%
or 19
 
1.4%
as 17
 
1.2%
Other values (331) 1032
74.4%
2025-04-10T20:10:26.950032image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2066
20.4%
e 852
 
8.4%
a 630
 
6.2%
i 588
 
5.8%
s 556
 
5.5%
o 539
 
5.3%
n 533
 
5.3%
t 525
 
5.2%
r 468
 
4.6%
d 347
 
3.4%
Other values (54) 3040
30.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10144
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2066
20.4%
e 852
 
8.4%
a 630
 
6.2%
i 588
 
5.8%
s 556
 
5.5%
o 539
 
5.3%
n 533
 
5.3%
t 525
 
5.2%
r 468
 
4.6%
d 347
 
3.4%
Other values (54) 3040
30.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10144
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2066
20.4%
e 852
 
8.4%
a 630
 
6.2%
i 588
 
5.8%
s 556
 
5.5%
o 539
 
5.3%
n 533
 
5.3%
t 525
 
5.2%
r 468
 
4.6%
d 347
 
3.4%
Other values (54) 3040
30.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10144
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2066
20.4%
e 852
 
8.4%
a 630
 
6.2%
i 588
 
5.8%
s 556
 
5.5%
o 539
 
5.3%
n 533
 
5.3%
t 525
 
5.2%
r 468
 
4.6%
d 347
 
3.4%
Other values (54) 3040
30.0%

Violation Memo - 21
Text

Missing 

Distinct24
Distinct (%)70.6%
Missing47185
Missing (%)99.9%
Memory size1.4 MiB
2025-04-10T20:10:27.095334image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length50
Mean length45.205882
Min length18

Characters and Unicode

Total characters1537
Distinct characters60
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)41.2%

Sample

1st rowHAND SINK USED TO AS A PREP SINK
2nd rowrepair water heater, water damaged ceiling tile.
3rd rowcooler units must be maintain 40 F or below
4th rowDISCONTINUE PARTIALLY COOKING FOOD ITEMS POTATOES 69.1,69.5*F
5th rowMust have updated pest control
ValueCountFrequency (%)
food 10
 
3.9%
provide 7
 
2.8%
no 6
 
2.4%
must 6
 
2.4%
in 6
 
2.4%
with 6
 
2.4%
be 5
 
2.0%
hand 5
 
2.0%
to 5
 
2.0%
paper 4
 
1.6%
Other values (116) 194
76.4%
2025-04-10T20:10:27.323940image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
225
 
14.6%
e 119
 
7.7%
o 95
 
6.2%
t 91
 
5.9%
a 83
 
5.4%
i 81
 
5.3%
n 77
 
5.0%
r 77
 
5.0%
s 67
 
4.4%
c 39
 
2.5%
Other values (50) 583
37.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1537
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
225
 
14.6%
e 119
 
7.7%
o 95
 
6.2%
t 91
 
5.9%
a 83
 
5.4%
i 81
 
5.3%
n 77
 
5.0%
r 77
 
5.0%
s 67
 
4.4%
c 39
 
2.5%
Other values (50) 583
37.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1537
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
225
 
14.6%
e 119
 
7.7%
o 95
 
6.2%
t 91
 
5.9%
a 83
 
5.4%
i 81
 
5.3%
n 77
 
5.0%
r 77
 
5.0%
s 67
 
4.4%
c 39
 
2.5%
Other values (50) 583
37.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1537
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
225
 
14.6%
e 119
 
7.7%
o 95
 
6.2%
t 91
 
5.9%
a 83
 
5.4%
i 81
 
5.3%
n 77
 
5.0%
r 77
 
5.0%
s 67
 
4.4%
c 39
 
2.5%
Other values (50) 583
37.9%
Distinct11
Distinct (%)57.9%
Missing47200
Missing (%)> 99.9%
Memory size1.4 MiB
2025-04-10T20:10:27.433798image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length100
Median length65
Mean length53.789474
Min length23

Characters and Unicode

Total characters1022
Distinct characters50
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)26.3%

Sample

1st row*47 Conditions of Permit-in use of food equipment
2nd row*12 A food employee shall comply with an exclusion or RESTRICTION
3rd row*43 Clean vent syst:Intake/exhaust air ducts
4th row*32 Food-contact surfaces. smooth, non-absorbent and easily cleanable
5th row*47 Handwashing signage
ValueCountFrequency (%)
of 10
 
6.4%
food 10
 
6.4%
shall 6
 
3.8%
be 5
 
3.2%
47 4
 
2.5%
name 4
 
2.5%
the 4
 
2.5%
pests 4
 
2.5%
other 4
 
2.5%
24 4
 
2.5%
Other values (58) 102
65.0%
2025-04-10T20:10:27.630516image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
13.8%
e 88
 
8.6%
o 84
 
8.2%
n 66
 
6.5%
s 58
 
5.7%
a 55
 
5.4%
t 53
 
5.2%
i 52
 
5.1%
r 43
 
4.2%
l 37
 
3.6%
Other values (40) 345
33.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1022
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
141
13.8%
e 88
 
8.6%
o 84
 
8.2%
n 66
 
6.5%
s 58
 
5.7%
a 55
 
5.4%
t 53
 
5.2%
i 52
 
5.1%
r 43
 
4.2%
l 37
 
3.6%
Other values (40) 345
33.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1022
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
141
13.8%
e 88
 
8.6%
o 84
 
8.2%
n 66
 
6.5%
s 58
 
5.7%
a 55
 
5.4%
t 53
 
5.2%
i 52
 
5.1%
r 43
 
4.2%
l 37
 
3.6%
Other values (40) 345
33.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1022
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
141
13.8%
e 88
 
8.6%
o 84
 
8.2%
n 66
 
6.5%
s 58
 
5.7%
a 55
 
5.4%
t 53
 
5.2%
i 52
 
5.1%
r 43
 
4.2%
l 37
 
3.6%
Other values (40) 345
33.8%

Violation Points - 22
Categorical

High correlation  Missing 

Distinct3
Distinct (%)15.8%
Missing47200
Missing (%)> 99.9%
Memory size2.9 MiB
1.0
2.0
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters57
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)5.3%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 9
 
< 0.1%
2.0 9
 
< 0.1%
3.0 1
 
< 0.1%
(Missing) 47200
> 99.9%

Length

2025-04-10T20:10:27.722192image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:27.786553image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 9
47.4%
2.0 9
47.4%
3.0 1
 
5.3%

Most occurring characters

ValueCountFrequency (%)
. 19
33.3%
0 19
33.3%
1 9
15.8%
2 9
15.8%
3 1
 
1.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 57
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 19
33.3%
0 19
33.3%
1 9
15.8%
2 9
15.8%
3 1
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 57
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 19
33.3%
0 19
33.3%
1 9
15.8%
2 9
15.8%
3 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 57
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 19
33.3%
0 19
33.3%
1 9
15.8%
2 9
15.8%
3 1
 
1.8%

Violation Detail - 22
Text

Missing 

Distinct11
Distinct (%)57.9%
Missing47200
Missing (%)> 99.9%
Memory size1.4 MiB
2025-04-10T20:10:27.914587image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length521
Median length356
Mean length310.42105
Min length195

Characters and Unicode

Total characters5898
Distinct characters63
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)26.3%

Sample

1st row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
2nd row228.35 Management and Personnel. Responsibilities and Reporting Symptoms and Diagnosis. (f) A food employee shall: (2) comply with a restriction as specified in õ228.36(4)(B), (5)(B), (6)(B), (7), (8)(B), or õ228.36 (8), (9), or (10) and comply with the provisions specified in õ228.37(4) - (10) of this title.
3rd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.
4th row228.223 REQUIREMENTS APPLICABLE TO CERTAIN ESTABLISHMENTS Bed and Breakfast (j) Food-contact surfaces. All food contact surfaces, counters, or work surfaces in the establishment shall be smooth, non-absorbent and easily cleanable.
5th row228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.
ValueCountFrequency (%)
the 42
 
5.3%
and 36
 
4.6%
a 32
 
4.1%
of 29
 
3.7%
food 19
 
2.4%
shall 18
 
2.3%
in 18
 
2.3%
or 17
 
2.2%
by 14
 
1.8%
to 14
 
1.8%
Other values (207) 550
69.7%
2025-04-10T20:10:28.180409image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1353
22.9%
e 434
 
7.4%
i 349
 
5.9%
t 340
 
5.8%
s 325
 
5.5%
a 324
 
5.5%
o 303
 
5.1%
n 290
 
4.9%
r 210
 
3.6%
l 191
 
3.2%
Other values (53) 1779
30.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5898
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1353
22.9%
e 434
 
7.4%
i 349
 
5.9%
t 340
 
5.8%
s 325
 
5.5%
a 324
 
5.5%
o 303
 
5.1%
n 290
 
4.9%
r 210
 
3.6%
l 191
 
3.2%
Other values (53) 1779
30.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5898
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1353
22.9%
e 434
 
7.4%
i 349
 
5.9%
t 340
 
5.8%
s 325
 
5.5%
a 324
 
5.5%
o 303
 
5.1%
n 290
 
4.9%
r 210
 
3.6%
l 191
 
3.2%
Other values (53) 1779
30.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5898
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1353
22.9%
e 434
 
7.4%
i 349
 
5.9%
t 340
 
5.8%
s 325
 
5.5%
a 324
 
5.5%
o 303
 
5.1%
n 290
 
4.9%
r 210
 
3.6%
l 191
 
3.2%
Other values (53) 1779
30.2%

Violation Memo - 22
Text

Missing 

Distinct13
Distinct (%)68.4%
Missing47200
Missing (%)> 99.9%
Memory size1.4 MiB
2025-04-10T20:10:28.342672image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length173
Median length48
Mean length56.105263
Min length21

Characters and Unicode

Total characters1066
Distinct characters48
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)36.8%

Sample

1st rowpost consumer health.
2nd rowmissing employee health policies and procedures
3rd rowMust clean air intake vent near restrooms
4th rowREMOVE ALL ABSORBENT MATERIALS ( BOXES)
5th rowmissing hand washing sign
ValueCountFrequency (%)
in 8
 
4.6%
hand 7
 
4.0%
sink 6
 
3.4%
all 5
 
2.9%
washing 5
 
2.9%
ceiling 4
 
2.3%
health 4
 
2.3%
missing 4
 
2.3%
tiles 4
 
2.3%
not 4
 
2.3%
Other values (72) 124
70.9%
2025-04-10T20:10:28.649299image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
160
15.0%
e 76
 
7.1%
n 72
 
6.8%
i 69
 
6.5%
s 64
 
6.0%
a 63
 
5.9%
t 49
 
4.6%
o 48
 
4.5%
l 45
 
4.2%
r 43
 
4.0%
Other values (38) 377
35.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1066
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
160
15.0%
e 76
 
7.1%
n 72
 
6.8%
i 69
 
6.5%
s 64
 
6.0%
a 63
 
5.9%
t 49
 
4.6%
o 48
 
4.5%
l 45
 
4.2%
r 43
 
4.0%
Other values (38) 377
35.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1066
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
160
15.0%
e 76
 
7.1%
n 72
 
6.8%
i 69
 
6.5%
s 64
 
6.0%
a 63
 
5.9%
t 49
 
4.6%
o 48
 
4.5%
l 45
 
4.2%
r 43
 
4.0%
Other values (38) 377
35.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1066
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
160
15.0%
e 76
 
7.1%
n 72
 
6.8%
i 69
 
6.5%
s 64
 
6.0%
a 63
 
5.9%
t 49
 
4.6%
o 48
 
4.5%
l 45
 
4.2%
r 43
 
4.0%
Other values (38) 377
35.4%
Distinct6
Distinct (%)75.0%
Missing47211
Missing (%)> 99.9%
Memory size1.4 MiB
2025-04-10T20:10:28.770463image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length49
Median length46
Mean length42.5
Min length20

Characters and Unicode

Total characters340
Distinct characters53
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)50.0%

Sample

1st row*10 Equipment and Utensils Cleaning-contamination
2nd row*22 Accredited food handler certificate - 60 days
3rd row*39 Cooking equipment free of encrusted grease
4th row*47 OTHER VIOLATIONS
5th row*19 Water & Plumbing in good repair- per code
ValueCountFrequency (%)
5
 
8.8%
19 2
 
3.5%
date 2
 
3.5%
water 2
 
3.5%
equipment 2
 
3.5%
41f 2
 
3.5%
site,temp 2
 
3.5%
24 2
 
3.5%
marking 2
 
3.5%
hrs,on 2
 
3.5%
Other values (27) 34
59.6%
2025-04-10T20:10:29.000489image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51
 
15.0%
e 30
 
8.8%
n 20
 
5.9%
i 20
 
5.9%
r 18
 
5.3%
t 17
 
5.0%
a 16
 
4.7%
o 15
 
4.4%
d 11
 
3.2%
s 9
 
2.6%
Other values (43) 133
39.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 340
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
51
 
15.0%
e 30
 
8.8%
n 20
 
5.9%
i 20
 
5.9%
r 18
 
5.3%
t 17
 
5.0%
a 16
 
4.7%
o 15
 
4.4%
d 11
 
3.2%
s 9
 
2.6%
Other values (43) 133
39.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 340
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
51
 
15.0%
e 30
 
8.8%
n 20
 
5.9%
i 20
 
5.9%
r 18
 
5.3%
t 17
 
5.0%
a 16
 
4.7%
o 15
 
4.4%
d 11
 
3.2%
s 9
 
2.6%
Other values (43) 133
39.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 340
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
51
 
15.0%
e 30
 
8.8%
n 20
 
5.9%
i 20
 
5.9%
r 18
 
5.3%
t 17
 
5.0%
a 16
 
4.7%
o 15
 
4.4%
d 11
 
3.2%
s 9
 
2.6%
Other values (43) 133
39.1%

Violation Points - 23
Categorical

High correlation  Missing 

Distinct3
Distinct (%)37.5%
Missing47211
Missing (%)> 99.9%
Memory size2.9 MiB
3.0
2.0
1.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters24
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row1.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 3
 
< 0.1%
2.0 3
 
< 0.1%
1.0 2
 
< 0.1%
(Missing) 47211
> 99.9%

Length

2025-04-10T20:10:29.111639image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:29.230467image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
3.0 3
37.5%
2.0 3
37.5%
1.0 2
25.0%

Most occurring characters

ValueCountFrequency (%)
. 8
33.3%
0 8
33.3%
3 3
 
12.5%
2 3
 
12.5%
1 2
 
8.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 24
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 8
33.3%
0 8
33.3%
3 3
 
12.5%
2 3
 
12.5%
1 2
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 24
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 8
33.3%
0 8
33.3%
3 3
 
12.5%
2 3
 
12.5%
1 2
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 24
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 8
33.3%
0 8
33.3%
3 3
 
12.5%
2 3
 
12.5%
1 2
 
8.3%

Violation Detail - 23
Text

Missing 

Distinct6
Distinct (%)75.0%
Missing47211
Missing (%)> 99.9%
Memory size1.4 MiB
2025-04-10T20:10:29.370447image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length815
Median length333.5
Mean length411.75
Min length217

Characters and Unicode

Total characters3294
Distinct characters60
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)50.0%

Sample

1st row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (a) Equipment food-contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be cleaned: (E) at any time during the operation when contamination may have occurred.
2nd rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.
3rd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (2) The food-contact surfaces of cooking equipment and pans shall be kept free of encrusted grease deposits and other soil accumulations.
4th row229.164 Food. (b) Approved sources. (6) Exotic animals and game animals. (B) If game animals are received for sale or service they shall be: (i) commercially raised for food and: (I) raised, slaughtered, and processed under a voluntary inspection program that is conducted by the agency that has animal health jurisdiction.
5th row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; and
ValueCountFrequency (%)
and 29
 
6.0%
the 26
 
5.4%
food 24
 
5.0%
a 13
 
2.7%
shall 12
 
2.5%
of 11
 
2.3%
in 11
 
2.3%
be 11
 
2.3%
plumbing 8
 
1.7%
equipment 7
 
1.5%
Other values (153) 329
68.4%
2025-04-10T20:10:29.630431image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
683
20.7%
e 296
 
9.0%
a 218
 
6.6%
t 182
 
5.5%
o 180
 
5.5%
n 178
 
5.4%
i 160
 
4.9%
d 147
 
4.5%
s 146
 
4.4%
r 139
 
4.2%
Other values (50) 965
29.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3294
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
683
20.7%
e 296
 
9.0%
a 218
 
6.6%
t 182
 
5.5%
o 180
 
5.5%
n 178
 
5.4%
i 160
 
4.9%
d 147
 
4.5%
s 146
 
4.4%
r 139
 
4.2%
Other values (50) 965
29.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3294
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
683
20.7%
e 296
 
9.0%
a 218
 
6.6%
t 182
 
5.5%
o 180
 
5.5%
n 178
 
5.4%
i 160
 
4.9%
d 147
 
4.5%
s 146
 
4.4%
r 139
 
4.2%
Other values (50) 965
29.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3294
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
683
20.7%
e 296
 
9.0%
a 218
 
6.6%
t 182
 
5.5%
o 180
 
5.5%
n 178
 
5.4%
i 160
 
4.9%
d 147
 
4.5%
s 146
 
4.4%
r 139
 
4.2%
Other values (50) 965
29.3%

Violation Memo - 23
Text

Missing 

Distinct6
Distinct (%)75.0%
Missing47211
Missing (%)> 99.9%
Memory size1.4 MiB
2025-04-10T20:10:29.752274image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length103
Median length47
Mean length46.625
Min length32

Characters and Unicode

Total characters373
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)50.0%

Sample

1st rowsanitize food surfaces during operational hours
2nd rowfood handler certificates expired
3rd rowcooking equipment dirty with soils and grease accumulations must be clean to avoid cross contamination
4th rowMissing hand wash signs at hand wash sinks
5th rowfix handsink in women's bathroom
ValueCountFrequency (%)
food 4
 
6.6%
fix 2
 
3.3%
hand 2
 
3.3%
wash 2
 
3.3%
only 2
 
3.3%
days 2
 
3.3%
7 2
 
3.3%
handsink 2
 
3.3%
for 2
 
3.3%
tcs 2
 
3.3%
Other values (33) 39
63.9%
2025-04-10T20:10:30.024868image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
14.5%
a 31
 
8.3%
o 30
 
8.0%
n 27
 
7.2%
s 26
 
7.0%
i 26
 
7.0%
e 20
 
5.4%
d 18
 
4.8%
r 18
 
4.8%
t 17
 
4.6%
Other values (22) 106
28.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 373
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
54
14.5%
a 31
 
8.3%
o 30
 
8.0%
n 27
 
7.2%
s 26
 
7.0%
i 26
 
7.0%
e 20
 
5.4%
d 18
 
4.8%
r 18
 
4.8%
t 17
 
4.6%
Other values (22) 106
28.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 373
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
54
14.5%
a 31
 
8.3%
o 30
 
8.0%
n 27
 
7.2%
s 26
 
7.0%
i 26
 
7.0%
e 20
 
5.4%
d 18
 
4.8%
r 18
 
4.8%
t 17
 
4.6%
Other values (22) 106
28.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 373
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
54
14.5%
a 31
 
8.3%
o 30
 
8.0%
n 27
 
7.2%
s 26
 
7.0%
i 26
 
7.0%
e 20
 
5.4%
d 18
 
4.8%
r 18
 
4.8%
t 17
 
4.6%
Other values (22) 106
28.4%
Distinct3
Distinct (%)60.0%
Missing47214
Missing (%)> 99.9%
Memory size1.4 MiB
2025-04-10T20:10:30.140281image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length59
Median length48
Mean length40.2
Min length23

Characters and Unicode

Total characters201
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st row*46 Water, Plumbing, and Waste Plumbing Systems-good repair
2nd row*36 Cloths in-use for wiping between uses stored
3rd row*36 Cloths in-use for wiping between uses stored
4th row*45 Drying Mops-air dry
5th row*45 Drying Mops-air dry
ValueCountFrequency (%)
36 2
 
6.2%
stored 2
 
6.2%
plumbing 2
 
6.2%
dry 2
 
6.2%
mops-air 2
 
6.2%
cloths 2
 
6.2%
45 2
 
6.2%
drying 2
 
6.2%
uses 2
 
6.2%
between 2
 
6.2%
Other values (9) 12
37.5%
2025-04-10T20:10:30.370224image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
13.4%
e 16
 
8.0%
s 15
 
7.5%
r 13
 
6.5%
i 13
 
6.5%
n 11
 
5.5%
o 10
 
5.0%
t 9
 
4.5%
g 7
 
3.5%
a 6
 
3.0%
Other values (23) 74
36.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 201
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
27
 
13.4%
e 16
 
8.0%
s 15
 
7.5%
r 13
 
6.5%
i 13
 
6.5%
n 11
 
5.5%
o 10
 
5.0%
t 9
 
4.5%
g 7
 
3.5%
a 6
 
3.0%
Other values (23) 74
36.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 201
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
27
 
13.4%
e 16
 
8.0%
s 15
 
7.5%
r 13
 
6.5%
i 13
 
6.5%
n 11
 
5.5%
o 10
 
5.0%
t 9
 
4.5%
g 7
 
3.5%
a 6
 
3.0%
Other values (23) 74
36.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 201
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
27
 
13.4%
e 16
 
8.0%
s 15
 
7.5%
r 13
 
6.5%
i 13
 
6.5%
n 11
 
5.5%
o 10
 
5.0%
t 9
 
4.5%
g 7
 
3.5%
a 6
 
3.0%
Other values (23) 74
36.8%

Violation Points - 24
Categorical

Constant  Missing 

Distinct1
Distinct (%)20.0%
Missing47214
Missing (%)> 99.9%
Memory size2.9 MiB
1.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters15
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 5
 
< 0.1%
(Missing) 47214
> 99.9%

Length

2025-04-10T20:10:30.490344image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:30.575297image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 5
100.0%

Most occurring characters

ValueCountFrequency (%)
1 5
33.3%
. 5
33.3%
0 5
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 5
33.3%
. 5
33.3%
0 5
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 5
33.3%
. 5
33.3%
0 5
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 5
33.3%
. 5
33.3%
0 5
33.3%

Violation Detail - 24
Text

Missing 

Distinct3
Distinct (%)60.0%
Missing47214
Missing (%)> 99.9%
Memory size1.4 MiB
2025-04-10T20:10:30.711679image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length340
Median length268
Mean length282.8
Min length198

Characters and Unicode

Total characters1414
Distinct characters49
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (2) maintained in good repair.
2nd row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; and
3rd row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; and
4th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (f) Drying mops. After use, mops shall be placed in a position that allows them to air-dry without soiling walls, equipment, or supplies.
5th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (f) Drying mops. After use, mops shall be placed in a position that allows them to air-dry without soiling walls, equipment, or supplies.
ValueCountFrequency (%)
and 10
 
5.4%
a 9
 
4.9%
in 8
 
4.3%
equipment 8
 
4.3%
be 5
 
2.7%
shall 5
 
2.7%
wiping 4
 
2.2%
mops 4
 
2.2%
cloths 4
 
2.2%
use 4
 
2.2%
Other values (64) 124
67.0%
2025-04-10T20:10:30.966278image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
319
22.6%
i 107
 
7.6%
e 97
 
6.9%
n 85
 
6.0%
s 83
 
5.9%
t 78
 
5.5%
a 66
 
4.7%
o 60
 
4.2%
l 51
 
3.6%
r 40
 
2.8%
Other values (39) 428
30.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1414
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
319
22.6%
i 107
 
7.6%
e 97
 
6.9%
n 85
 
6.0%
s 83
 
5.9%
t 78
 
5.5%
a 66
 
4.7%
o 60
 
4.2%
l 51
 
3.6%
r 40
 
2.8%
Other values (39) 428
30.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1414
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
319
22.6%
i 107
 
7.6%
e 97
 
6.9%
n 85
 
6.0%
s 83
 
5.9%
t 78
 
5.5%
a 66
 
4.7%
o 60
 
4.2%
l 51
 
3.6%
r 40
 
2.8%
Other values (39) 428
30.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1414
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
319
22.6%
i 107
 
7.6%
e 97
 
6.9%
n 85
 
6.0%
s 83
 
5.9%
t 78
 
5.5%
a 66
 
4.7%
o 60
 
4.2%
l 51
 
3.6%
r 40
 
2.8%
Other values (39) 428
30.3%

Violation Memo - 24
Text

Missing 

Distinct3
Distinct (%)60.0%
Missing47214
Missing (%)> 99.9%
Memory size1.4 MiB
2025-04-10T20:10:31.080070image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length91
Median length44
Mean length41
Min length13

Characters and Unicode

Total characters205
Distinct characters24
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st rowwater faucets detach from sinks in all areas must be replace or repair to proper condition
2nd rowStore wet wiping cloth in sanitizer solution
3rd rowStore wet wiping cloth in sanitizer solution
4th rowmops need dry
5th rowmops need dry
ValueCountFrequency (%)
in 3
 
8.3%
store 2
 
5.6%
solution 2
 
5.6%
wet 2
 
5.6%
dry 2
 
5.6%
mops 2
 
5.6%
need 2
 
5.6%
sanitizer 2
 
5.6%
cloth 2
 
5.6%
wiping 2
 
5.6%
Other values (15) 15
41.7%
2025-04-10T20:10:31.310245image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
15.6%
e 19
9.3%
i 17
 
8.3%
t 16
 
7.8%
o 16
 
7.8%
r 15
 
7.3%
n 14
 
6.8%
s 11
 
5.4%
a 10
 
4.9%
p 8
 
3.9%
Other values (14) 47
22.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 205
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
32
15.6%
e 19
9.3%
i 17
 
8.3%
t 16
 
7.8%
o 16
 
7.8%
r 15
 
7.3%
n 14
 
6.8%
s 11
 
5.4%
a 10
 
4.9%
p 8
 
3.9%
Other values (14) 47
22.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 205
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
32
15.6%
e 19
9.3%
i 17
 
8.3%
t 16
 
7.8%
o 16
 
7.8%
r 15
 
7.3%
n 14
 
6.8%
s 11
 
5.4%
a 10
 
4.9%
p 8
 
3.9%
Other values (14) 47
22.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 205
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
32
15.6%
e 19
9.3%
i 17
 
8.3%
t 16
 
7.8%
o 16
 
7.8%
r 15
 
7.3%
n 14
 
6.8%
s 11
 
5.4%
a 10
 
4.9%
p 8
 
3.9%
Other values (14) 47
22.9%

Violation Description - 25
Text

Constant  Missing 

Distinct1
Distinct (%)50.0%
Missing47217
Missing (%)> 99.9%
Memory size1.4 MiB
2025-04-10T20:10:31.410516image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length34
Median length34
Mean length34
Min length34

Characters and Unicode

Total characters68
Distinct characters18
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row*42 Dirty nonfood contact surfaces
2nd row*42 Dirty nonfood contact surfaces
ValueCountFrequency (%)
42 2
20.0%
dirty 2
20.0%
nonfood 2
20.0%
contact 2
20.0%
surfaces 2
20.0%
2025-04-10T20:10:31.596438image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
11.8%
o 8
11.8%
n 6
 
8.8%
t 6
 
8.8%
c 6
 
8.8%
f 4
 
5.9%
s 4
 
5.9%
a 4
 
5.9%
r 4
 
5.9%
u 2
 
2.9%
Other values (8) 16
23.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 68
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8
11.8%
o 8
11.8%
n 6
 
8.8%
t 6
 
8.8%
c 6
 
8.8%
f 4
 
5.9%
s 4
 
5.9%
a 4
 
5.9%
r 4
 
5.9%
u 2
 
2.9%
Other values (8) 16
23.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 68
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8
11.8%
o 8
11.8%
n 6
 
8.8%
t 6
 
8.8%
c 6
 
8.8%
f 4
 
5.9%
s 4
 
5.9%
a 4
 
5.9%
r 4
 
5.9%
u 2
 
2.9%
Other values (8) 16
23.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 68
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8
11.8%
o 8
11.8%
n 6
 
8.8%
t 6
 
8.8%
c 6
 
8.8%
f 4
 
5.9%
s 4
 
5.9%
a 4
 
5.9%
r 4
 
5.9%
u 2
 
2.9%
Other values (8) 16
23.5%

Violation Points - 25
Categorical

Constant  Missing 

Distinct1
Distinct (%)50.0%
Missing47217
Missing (%)> 99.9%
Memory size2.9 MiB
1.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters6
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0

Common Values

ValueCountFrequency (%)
1.0 2
 
< 0.1%
(Missing) 47217
> 99.9%

Length

2025-04-10T20:10:31.700382image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:31.793388image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2
100.0%

Most occurring characters

ValueCountFrequency (%)
1 2
33.3%
. 2
33.3%
0 2
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 2
33.3%
. 2
33.3%
0 2
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 2
33.3%
. 2
33.3%
0 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 2
33.3%
. 2
33.3%
0 2
33.3%

Violation Detail - 25
Text

Constant  Missing 

Distinct1
Distinct (%)50.0%
Missing47217
Missing (%)> 99.9%
Memory size1.4 MiB
2025-04-10T20:10:31.872408image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length222
Median length222
Mean length222
Min length222

Characters and Unicode

Total characters444
Distinct characters35
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
2nd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
ValueCountFrequency (%)
of 8
 
13.3%
and 6
 
10.0%
equipment 6
 
10.0%
utensils 4
 
6.7%
228.113 2
 
3.3%
free 2
 
3.3%
other 2
 
3.3%
residue 2
 
3.3%
food 2
 
3.3%
dirt 2
 
3.3%
Other values (12) 24
40.0%
2025-04-10T20:10:32.075272image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
21.6%
e 36
 
8.1%
n 32
 
7.2%
t 24
 
5.4%
o 24
 
5.4%
s 22
 
5.0%
i 22
 
5.0%
a 20
 
4.5%
d 18
 
4.1%
u 18
 
4.1%
Other values (25) 132
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 444
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
96
21.6%
e 36
 
8.1%
n 32
 
7.2%
t 24
 
5.4%
o 24
 
5.4%
s 22
 
5.0%
i 22
 
5.0%
a 20
 
4.5%
d 18
 
4.1%
u 18
 
4.1%
Other values (25) 132
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 444
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
96
21.6%
e 36
 
8.1%
n 32
 
7.2%
t 24
 
5.4%
o 24
 
5.4%
s 22
 
5.0%
i 22
 
5.0%
a 20
 
4.5%
d 18
 
4.1%
u 18
 
4.1%
Other values (25) 132
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 444
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
96
21.6%
e 36
 
8.1%
n 32
 
7.2%
t 24
 
5.4%
o 24
 
5.4%
s 22
 
5.0%
i 22
 
5.0%
a 20
 
4.5%
d 18
 
4.1%
u 18
 
4.1%
Other values (25) 132
29.7%

Violation Memo - 25
Text

Constant  Missing 

Distinct1
Distinct (%)50.0%
Missing47217
Missing (%)> 99.9%
Memory size1.4 MiB
2025-04-10T20:10:32.180401image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length171
Median length171
Mean length171
Min length171

Characters and Unicode

Total characters342
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDirty dust on fans and vents above food prep areas and counters. dirty food containers, outside RIC doors, stoves, ovens, walls, vents, vent filters. Ice on freezer floor.
2nd rowDirty dust on fans and vents above food prep areas and counters. dirty food containers, outside RIC doors, stoves, ovens, walls, vents, vent filters. Ice on freezer floor.
ValueCountFrequency (%)
dirty 4
 
7.1%
on 4
 
7.1%
and 4
 
7.1%
vents 4
 
7.1%
food 4
 
7.1%
doors 2
 
3.6%
freezer 2
 
3.6%
ice 2
 
3.6%
filters 2
 
3.6%
vent 2
 
3.6%
Other values (13) 26
46.4%
2025-04-10T20:10:32.380211image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
15.8%
e 32
 
9.4%
o 32
 
9.4%
s 28
 
8.2%
n 24
 
7.0%
r 22
 
6.4%
t 22
 
6.4%
a 16
 
4.7%
d 16
 
4.7%
v 12
 
3.5%
Other values (16) 84
24.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 342
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
54
15.8%
e 32
 
9.4%
o 32
 
9.4%
s 28
 
8.2%
n 24
 
7.0%
r 22
 
6.4%
t 22
 
6.4%
a 16
 
4.7%
d 16
 
4.7%
v 12
 
3.5%
Other values (16) 84
24.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 342
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
54
15.8%
e 32
 
9.4%
o 32
 
9.4%
s 28
 
8.2%
n 24
 
7.0%
r 22
 
6.4%
t 22
 
6.4%
a 16
 
4.7%
d 16
 
4.7%
v 12
 
3.5%
Other values (16) 84
24.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 342
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
54
15.8%
e 32
 
9.4%
o 32
 
9.4%
s 28
 
8.2%
n 24
 
7.0%
r 22
 
6.4%
t 22
 
6.4%
a 16
 
4.7%
d 16
 
4.7%
v 12
 
3.5%
Other values (16) 84
24.6%

Inspection Month
Categorical

High correlation 

Distinct38
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
Mar 2023
 
2068
Mar 2022
 
2036
Jan 2024
 
1950
Feb 2023
 
1904
Dec 2022
 
1790
Other values (33)
37471 

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters377752
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowApr 2021
2nd rowApr 2021
3rd rowNov 2021
4th rowApr 2021
5th rowNov 2022

Common Values

ValueCountFrequency (%)
Mar 2023 2068
 
4.4%
Mar 2022 2036
 
4.3%
Jan 2024 1950
 
4.1%
Feb 2023 1904
 
4.0%
Dec 2022 1790
 
3.8%
Jan 2023 1788
 
3.8%
May 2023 1672
 
3.5%
Jul 2023 1616
 
3.4%
Nov 2022 1614
 
3.4%
Apr 2023 1552
 
3.3%
Other values (28) 29229
61.9%

Length

2025-04-10T20:10:32.490200image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023 18220
19.3%
2022 16562
17.5%
2021 9305
9.9%
jan 5778
 
6.1%
mar 5051
 
5.3%
feb 4726
 
5.0%
dec 4044
 
4.3%
apr 3958
 
4.2%
nov 3826
 
4.1%
aug 3670
 
3.9%
Other values (6) 19298
20.4%

Most occurring characters

ValueCountFrequency (%)
2 111000
29.4%
47219
12.5%
0 47219
12.5%
3 18220
 
4.8%
a 14366
 
3.8%
e 12281
 
3.3%
J 12143
 
3.2%
u 10035
 
2.7%
1 9305
 
2.5%
r 9009
 
2.4%
Other values (18) 86955
23.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 377752
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 111000
29.4%
47219
12.5%
0 47219
12.5%
3 18220
 
4.8%
a 14366
 
3.8%
e 12281
 
3.3%
J 12143
 
3.2%
u 10035
 
2.7%
1 9305
 
2.5%
r 9009
 
2.4%
Other values (18) 86955
23.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 377752
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 111000
29.4%
47219
12.5%
0 47219
12.5%
3 18220
 
4.8%
a 14366
 
3.8%
e 12281
 
3.3%
J 12143
 
3.2%
u 10035
 
2.7%
1 9305
 
2.5%
r 9009
 
2.4%
Other values (18) 86955
23.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 377752
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 111000
29.4%
47219
12.5%
0 47219
12.5%
3 18220
 
4.8%
a 14366
 
3.8%
e 12281
 
3.3%
J 12143
 
3.2%
u 10035
 
2.7%
1 9305
 
2.5%
r 9009
 
2.4%
Other values (18) 86955
23.0%

Inspection Year
Categorical

High correlation 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
FY2023
19412 
FY2022
14157 
FY2021
6970 
FY2024
6680 

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters283314
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFY2021
2nd rowFY2021
3rd rowFY2022
4th rowFY2021
5th rowFY2023

Common Values

ValueCountFrequency (%)
FY2023 19412
41.1%
FY2022 14157
30.0%
FY2021 6970
 
14.8%
FY2024 6680
 
14.1%

Length

2025-04-10T20:10:32.580221image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-10T20:10:32.670547image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
fy2023 19412
41.1%
fy2022 14157
30.0%
fy2021 6970
 
14.8%
fy2024 6680
 
14.1%

Most occurring characters

ValueCountFrequency (%)
2 108595
38.3%
F 47219
16.7%
Y 47219
16.7%
0 47219
16.7%
3 19412
 
6.9%
1 6970
 
2.5%
4 6680
 
2.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 283314
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 108595
38.3%
F 47219
16.7%
Y 47219
16.7%
0 47219
16.7%
3 19412
 
6.9%
1 6970
 
2.5%
4 6680
 
2.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 283314
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 108595
38.3%
F 47219
16.7%
Y 47219
16.7%
0 47219
16.7%
3 19412
 
6.9%
1 6970
 
2.5%
4 6680
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 283314
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 108595
38.3%
F 47219
16.7%
Y 47219
16.7%
0 47219
16.7%
3 19412
 
6.9%
1 6970
 
2.5%
4 6680
 
2.4%
Distinct17354
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
2025-04-10T20:10:32.875339image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length73
Median length63
Mean length36.36462
Min length10

Characters and Unicode

Total characters1717101
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2404 ?
Unique (%)5.1%

Sample

1st row5555 S BUCKNER BLVD (32.793368, -96.685021)
2nd row8687 N CENTRAL EXPW #3000 (32.869358, -96.770707)
3rd row2900 W WHEATLAND RD (32.647455, -96.866883)
4th row1441 N BECKLEY AVE (32.616966, -96.823427)
5th row4800 ROSS AVE (32.80545, -96.77601)
ValueCountFrequency (%)
rd 12045
 
4.7%
ave 7989
 
3.1%
st 7063
 
2.8%
w 5135
 
2.0%
ln 5030
 
2.0%
blvd 4644
 
1.8%
n 4414
 
1.7%
s 4323
 
1.7%
dr 3228
 
1.3%
e 2296
 
0.9%
Other values (24116) 198624
78.0%
2025-04-10T20:10:33.480250image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
173019
 
10.1%
2 93668
 
5.5%
9 90046
 
5.2%
3 89862
 
5.2%
1 84415
 
4.9%
6 82836
 
4.8%
0 80605
 
4.7%
8 77545
 
4.5%
7 70294
 
4.1%
. 69253
 
4.0%
Other values (37) 805558
46.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1717101
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
173019
 
10.1%
2 93668
 
5.5%
9 90046
 
5.2%
3 89862
 
5.2%
1 84415
 
4.9%
6 82836
 
4.8%
0 80605
 
4.7%
8 77545
 
4.5%
7 70294
 
4.1%
. 69253
 
4.0%
Other values (37) 805558
46.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1717101
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
173019
 
10.1%
2 93668
 
5.5%
9 90046
 
5.2%
3 89862
 
5.2%
1 84415
 
4.9%
6 82836
 
4.8%
0 80605
 
4.7%
8 77545
 
4.5%
7 70294
 
4.1%
. 69253
 
4.0%
Other values (37) 805558
46.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1717101
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
173019
 
10.1%
2 93668
 
5.5%
9 90046
 
5.2%
3 89862
 
5.2%
1 84415
 
4.9%
6 82836
 
4.8%
0 80605
 
4.7%
8 77545
 
4.5%
7 70294
 
4.1%
. 69253
 
4.0%
Other values (37) 805558
46.9%

Interactions

2025-04-10T20:09:12.317402image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-04-10T20:09:11.923707image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-04-10T20:09:12.500603image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-04-10T20:09:12.120385image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Correlations

2025-04-10T20:10:33.601961image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Inspection MonthInspection ScoreInspection TypeInspection YearStreet DirectionStreet NumberStreet TypeViolation Description - 19Violation Description - 20Violation Detail - 19Violation Points - 1Violation Points - 10Violation Points - 11Violation Points - 12Violation Points - 13Violation Points - 14Violation Points - 15Violation Points - 16Violation Points - 17Violation Points - 18Violation Points - 19Violation Points - 2Violation Points - 20Violation Points - 21Violation Points - 22Violation Points - 23Violation Points - 3Violation Points - 4Violation Points - 5Violation Points - 6Violation Points - 7Violation Points - 8Violation Points - 9
Inspection Month1.0000.0420.0571.0000.1130.2510.0690.5940.5560.5970.0900.0990.1160.1620.1920.1970.2180.2310.3040.3440.4750.0610.4290.4780.6610.6320.0660.0880.0720.1050.0940.1010.090
Inspection Score0.0421.0000.1130.0550.1080.0220.0570.6190.5080.6230.3130.1400.1290.1360.1210.1680.1490.1550.1910.3530.4040.2650.2390.4770.4740.6060.2520.2800.1960.2190.1940.1770.109
Inspection Type0.0570.1131.0000.0190.0200.1830.0230.3940.5180.4020.0140.0520.0270.0230.0000.0410.0000.0490.1430.0820.1240.0200.0000.3140.0001.0000.0060.0150.0090.0120.0280.0310.044
Inspection Year1.0000.0550.0191.0000.0460.0000.0470.5240.4390.5260.0430.0460.0580.0900.0770.0730.0150.1170.1280.1350.2210.0210.1050.0000.1220.5480.0420.0650.0500.0730.0600.0530.055
Street Direction0.1130.1080.0200.0461.0000.8590.4430.3400.2470.3400.0650.0000.0370.0600.0000.1050.0000.0070.0280.3200.3870.0490.0000.0000.0501.0000.0370.0170.0440.0190.0230.0110.023
Street Number0.2510.0220.1830.0000.8591.0000.8120.7240.7460.7200.3300.3970.4460.4760.4990.5330.5250.5300.5100.5520.4880.2470.4790.6280.7070.6320.2650.3140.3290.3460.3580.3690.607
Street Type0.0690.0570.0230.0470.4430.8121.0000.4700.4560.4750.0680.0770.0850.1110.1220.1500.1300.0000.2160.2300.2230.0430.2810.4140.7600.7750.0470.0670.0560.0720.0540.0530.057
Violation Description - 190.5940.6190.3940.5240.3400.7240.4701.0000.6361.0000.6550.5760.5460.5060.6190.4840.6160.6090.6430.5840.7540.5880.6390.6280.6120.6320.6070.6370.4360.5710.5260.5270.489
Violation Description - 200.5560.5080.5180.4390.2470.7460.4560.6361.0000.6360.5340.5240.4500.3820.6720.5500.4450.6040.6340.5510.6940.5830.7410.4840.5950.6320.5040.5820.4270.4350.4910.5220.502
Violation Detail - 190.5970.6230.4020.5260.3400.7200.4751.0000.6361.0000.6590.5800.5500.5110.6230.4900.6210.6140.6480.5890.7580.5930.6390.6280.6120.6320.6120.6420.4400.5750.5310.5320.494
Violation Points - 10.0900.3130.0140.0430.0650.3300.0680.6550.5340.6591.0000.1820.1760.1860.2030.2260.2310.2340.2970.2270.2890.2100.3000.5850.5240.5480.1100.1110.1260.1410.1600.1660.182
Violation Points - 100.0990.1400.0520.0460.0000.3970.0770.5760.5240.5800.1821.0000.1370.0990.1030.0990.0350.1370.1350.1710.3080.1720.3240.4580.4440.5110.1430.1430.1450.1100.0640.0830.125
Violation Points - 110.1160.1290.0270.0580.0370.4460.0850.5460.4500.5500.1760.1371.0000.1400.1420.1570.0750.1030.0530.0000.1320.1740.0330.0000.0000.7500.1500.1520.1460.1060.0610.0500.116
Violation Points - 120.1620.1360.0230.0900.0600.4760.1110.5060.3820.5110.1860.0990.1401.0000.2180.1760.1200.0700.1030.0000.2290.1850.3310.1470.1790.1940.1530.1240.1360.1540.1010.0890.045
Violation Points - 130.1920.1210.0000.0770.0000.4990.1220.6190.6720.6230.2030.1030.1420.2181.0000.1870.1430.1150.1730.0670.1380.1750.2710.4120.0000.0610.2180.1850.2000.1530.1600.1460.102
Violation Points - 140.1970.1680.0410.0730.1050.5330.1500.4840.5500.4900.2260.0990.1570.1760.1871.0000.1540.0280.1940.0470.0430.2140.2730.2620.2080.0000.2750.1110.2140.1790.1900.1760.153
Violation Points - 150.2180.1490.0000.0150.0000.5250.1300.6160.4450.6210.2310.0350.0750.1200.1430.1541.0000.2200.1120.1430.2190.1900.0190.0000.4860.5200.2230.1490.1600.1770.1810.1920.140
Violation Points - 160.2310.1550.0490.1170.0070.5300.0000.6090.6040.6140.2340.1370.1030.0700.1150.0280.2201.0000.1650.1100.1240.1320.3430.3390.2780.3280.2510.1590.1240.1700.1640.2180.095
Violation Points - 170.3040.1910.1430.1280.0280.5100.2160.6430.6340.6480.2970.1350.0530.1030.1730.1940.1120.1651.0000.2700.2560.2590.3650.2820.4890.5480.1870.2730.1580.2140.1840.2350.191
Violation Points - 180.3440.3530.0820.1350.3200.5520.2300.5840.5510.5890.2270.1710.0000.0000.0670.0470.1430.1100.2701.0000.2600.1770.4140.5080.3390.1940.1870.1400.1440.1530.0070.1710.262
Violation Points - 190.4750.4040.1240.2210.3870.4880.2230.7540.6940.7580.2890.3080.1320.2290.1380.0430.2190.1240.2560.2601.0000.2420.4470.3240.0000.0000.2050.2550.1320.2790.1970.1420.241
Violation Points - 20.0610.2650.0200.0210.0490.2470.0430.5880.5830.5930.2100.1720.1740.1850.1750.2140.1900.1320.2590.1770.2421.0000.3990.5060.6290.0000.1650.1460.1060.1240.1350.1430.178
Violation Points - 200.4290.2390.0000.1050.0000.4790.2810.6390.7410.6390.3000.3240.0330.3310.2710.2730.0190.3430.3650.4140.4470.3991.0000.3590.0001.0000.2270.4040.2900.1670.0000.0000.165
Violation Points - 210.4780.4770.3140.0000.0000.6280.4140.6280.4840.6280.5850.4580.0000.1470.4120.2620.0000.3390.2820.5080.3240.5060.3591.0000.4810.3250.5850.4280.5370.4680.3220.3430.425
Violation Points - 220.6610.4740.0000.1220.0500.7070.7600.6120.5950.6120.5240.4440.0000.1790.0000.2080.4860.2780.4890.3390.0000.6290.0000.4811.0000.3800.5120.4540.4960.6280.4020.6240.000
Violation Points - 230.6320.6061.0000.5481.0000.6320.7750.6320.6320.6320.5480.5110.7500.1940.0610.0000.5200.3280.5480.1940.0000.0001.0000.3250.3801.0000.1940.6450.3280.0000.4170.7500.325
Violation Points - 30.0660.2520.0060.0420.0370.2650.0470.6070.5040.6120.1100.1430.1500.1530.2180.2750.2230.2510.1870.1870.2050.1650.2270.5850.5120.1941.0000.1910.0990.1290.1280.1400.129
Violation Points - 40.0880.2800.0150.0650.0170.3140.0670.6370.5820.6420.1110.1430.1520.1240.1850.1110.1490.1590.2730.1400.2550.1460.4040.4280.4540.6450.1911.0000.1830.1050.1090.1360.170
Violation Points - 50.0720.1960.0090.0500.0440.3290.0560.4360.4270.4400.1260.1450.1460.1360.2000.2140.1600.1240.1580.1440.1320.1060.2900.5370.4960.3280.0990.1831.0000.1550.0880.1090.113
Violation Points - 60.1050.2190.0120.0730.0190.3460.0720.5710.4350.5750.1410.1100.1060.1540.1530.1790.1770.1700.2140.1530.2790.1240.1670.4680.6280.0000.1290.1050.1551.0000.1410.0950.078
Violation Points - 70.0940.1940.0280.0600.0230.3580.0540.5260.4910.5310.1600.0640.0610.1010.1600.1900.1810.1640.1840.0070.1970.1350.0000.3220.4020.4170.1280.1090.0880.1411.0000.1520.098
Violation Points - 80.1010.1770.0310.0530.0110.3690.0530.5270.5220.5320.1660.0830.0500.0890.1460.1760.1920.2180.2350.1710.1420.1430.0000.3430.6240.7500.1400.1360.1090.0950.1521.0000.130
Violation Points - 90.0900.1090.0440.0550.0230.6070.0570.4890.5020.4940.1820.1250.1160.0450.1020.1530.1400.0950.1910.2620.2410.1780.1650.4250.0000.3250.1290.1700.1130.0780.0980.1301.000

Missing values

2025-04-10T20:09:13.304036image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
A simple visualization of nullity by column.
2025-04-10T20:09:14.374291image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-04-10T20:09:18.888472image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location
0SAMS CLUB #6482 - DEMO ROOMRoutine2021-04-051005555BUCKNERSBLVDNaN5555 S BUCKNER BLVD75227NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2021FY20215555 S BUCKNER BLVD\n(32.793368, -96.685021)
1AMC THEATRES NORTHPARK 15 (BAR)Routine2021-04-091008687CENTRALNEXPW#30008687 N CENTRAL EXPW #300075225NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2021FY20218687 N CENTRAL EXPW #3000\n(32.869358, -96.770707)
2SAM'S CLUB #8282 - DEMO ROOMRoutine2021-11-141002900WHEATLANDWRDNaN2900 W WHEATLAND RD75237NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2021FY20222900 W WHEATLAND RD\n(32.647455, -96.866883)
3AFC SUSHIRoutine2021-04-12981441BECKLEYNAVENaN1441 N BECKLEY AVE75208*29 Concentration of the sanitizing solution shall be accurately determined by using a test kit or o2.0228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (p) Warewashing equipment, determining chemical sanitizer concentration. Concentration of the sanitizing solution shall be accurately determined by using a test kit or other device.low concentration at sanitizer bucket with100 ppm must be maintain at: 200- 400 ppm Quat concentrationNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2021FY20211441 N BECKLEY AVE\n(32.616966, -96.823427)
4FANNIN INNOVATION DESIGNRoutine2022-11-07964800ROSSNaNAVENaN4800 ROSS AVE75204*07 Food safe, good condition, unadulterated, and honestly presented3.0228.61 Food. Condition safe, unadulterated, and honestly presented. Food shall be safe, unadulterated, and, as specified in õ228.78(b) of this title, honestly presented.Remove dented cans*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.Replace lights under vent hoodNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2022FY20234800 ROSS AVE\n(32.80545, -96.77601)
5WINE PRESS/DOG FISHHEADRoutine2022-04-201002500VICTORYNaNAVE#50152500 VICTORY AVE PLTM #501575201NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2022FY20222500 VICTORY AVE PLTM #5015
6TRINITY CIDERRoutine2021-07-01982656MAINNaNST#1202656 MAIN ST #12075226*31 No soap at handsink2.0228.175 Physical Facilities. Handwashing Sinks. (b) Handwashing cleanser, availability. Each handwashing lavatory or group of two adjacent lavatories shall be provided with a supply of hand cleaning liquid, powder, or bar soap.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2021FY20212656 MAIN ST #120\n(33.662542, -81.184438)
7MCDONALDSRoutine2022-07-14992747FORT WORTHNaNAVENaN2747 FORT WORTH AVE75211*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.Clean handles of machinery and spillsNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2022FY20222747 FORT WORTH AVE\n(32.757716, -96.865794)
8MCDONALD'SRoutine2022-01-191002551GUS THOMASSONNaNRDNaN2551 GUS THOMASSON RD75228NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2022FY20222551 GUS THOMASSON RD\n(32.834876, -96.671466)
9HOTEL ZAZA BANQUET KITCHENRoutine2021-09-13992332LEONARDNaNSTNaN2332 LEONARD ST75201*47 Other Violations1.0NaNMissing hand wash signs in banquet restroomsNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNSep 2021FY20212332 LEONARD ST\n(32.794079, -96.801631)
Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location
47209T BAR M RAQUET CLUBRoutine2024-01-29906060DILBECKNaNLNNaN6060 DILBECK LN75240*22 Accredited food handler certificate - 60 days2.0õ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.Provide up-to-date Food Handler Certificates*32 Equipment & Utensils smooth easily cleanable2.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (4) finished to have a smooth, easily cleanable surface; andReplace rusted WIC shelves*37 Food protected from cross contamination by storing the food in packages, covered containers, or1.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (D) except as specified in õ228.75(e)(2)(B) of this title and paragraph (2) of this subsection, storing the food in packages, covered containers, or wrappings;Cover all food in pantry and raw beef patties in freezer*39 Store all equipment & utensil covered or inverted1.0228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (2) Clean equipment and utensils shall be stored as specified under paragraph (1) of this subsection and shall be stored: (B) covered or inverted.Invert all plates*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.Replace water damaged ceiling tiles*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.Clean/replace rusted panel on ice machinesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20246060 DILBECK LN
47210LITTLE VEE'S BAR-BE-QUE & MORERoutine2024-01-24747620GREAT TRINITY FORESTNaNWAYNaN7620 GREAT TRINITY FOREST WAY75217*09 Food protected cross contamination separating types of raw animal food storage, preparation, hol3.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (i) using separate equipment for each type; orobserved eggs on top shelves above tcs food*19 Water & Plumbing in good repair- per code3.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; andobserved leaking water from faucet*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.rfsm missing on site*28 Date marking combined ingredients for RTE/ TCS food2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (3) A refrigerated, ready-to-eat TCS food ingredient or a portion of a refrigerated, ready-to-eat, TCS food that is subsequently combined with additional ingredients or portions of food shall retain the date marking of the earliest-prepared or first-prepared ingredientproperly date mark rte and tcs food*29 Sanitizing solutions, testing devices2.0228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.missing test strips*31 No soap at handsink2.0228.175 Physical Facilities. Handwashing Sinks. (b) Handwashing cleanser, availability. Each handwashing lavatory or group of two adjacent lavatories shall be provided with a supply of hand cleaning liquid, powder, or bar soap.hand soap and paper towel missing*32 Smooth Contact Surfaces2.0228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (1) smooth;resurface the chop board or replace it*35 Jewelry Prohibition1.0228.40 Management and Personnel. Jewelry Prohibition. Except for a plain ring such as a wedding band, while preparing food, food employees may not wear jewelry including medical information jewelry on their arms and hands.observed employees wearing neck chains, need to be removed while cooking or handling food*41 Food Labeling - Bulk Food w/ Card or Sign1.0228.79 Food. Labeling. (a) Food labels. (3) Bulk food that is available for consumer self-dispensing shall be prominently labeled with the following information in plain view of the consumer: (B) a card, sign, or other method of notification that includes the information specified in paragraph (2)(A), (B), and (F) of this subsection.no labeling on bulk food container*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.clean inside the hot hold oven, clean the shelves*46 Toilet tissue, availability1.0228.176 Physical Facilities. Toilets and urinals. (b) Toilet tissue, availability. A supply of toilet tissue shall be available at each toilet.provide paper towels on restroom*22 Accredited food handler certificate - 60 days2.0õ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.food handler card missing*20 Grease Trap Tickets3.0Ch.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.grease trap tickets needs to be on site (latest)*34 Pest control-routine inspections for1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to minimize their presence within the physical facility and its contents, and on the contiguous land or property under the control of the permit holder by: (2) routinely inspecting the premises for evidence of pests;missing pest control receiptNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20247620 GREAT TRINITY FOREST WAY\n(32.712226986, -96.691076037)
47211TORTAS Y TACOS EL RANCHITO #1 (TO GO)Routine2024-01-19918017LAKE JUNENaNRD#F8017 LAKE JUNE RD #F75217*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.food manager certificate expired*18 Toxic items labeling-non original container3.0228.202 Poisonous or Toxic Materials. Working containers, common name. Working containers used for storing poisonous or toxic materials such as cleaners and sanitizers taken from bulk supplies shall be clearly and individually identified with the common name of the material.provide label for chemical spray bottle and sanitizer bucket*39 Utensils, single serve items 6 inches off - floor1.0228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (1) Except as specified in paragraph (4) of this subsection, cleaned equipment and utensils, laundered linens, and single-service and single-use articles shall be stored: (C) at least 15 centimeters (6 inches) above the floor.store utensils 6 inches off floor*43 Ventilation hood-prevent grease dripping1.0228.106 Equipment, Utensils, and Linens. Functionality of equipment. (a) Ventilation hood systems, drip prevention. Exhaust ventilation hood systems in food preparation and warewashing areas including components such as hoods, fans, guards, and ducting shall be designed to prevent grease or condensation from draining or dripping onto food, equipment, utensils, linens, and single-service and single-use articles.catch grease bucket*32 Damaged Equipment2.0228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;freezer-rusty exterior, cooler on front is damaged remove or repairNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20248017 LAKE JUNE RD #F\n(28.87547064, -81.512021105)
47212ORIGINAL CHOP SHOPRoutine2024-02-019611700PRESTONNaNRD#61211700 PRESTON RD #61275230*37 Storing the food at least 15 cm (6 inches) above the floor1.0228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.store food 6 inches off the floor (carrots in the walk in cooler)*42 Nonfood-contact surfaces material1.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (i) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment that are exposed to splash, spillage, or other food soiling or that require frequent cleaning shall be constructed of a corrosion-resistant, nonabsorbent, and smooth material.clean interior of the reach in cooler/freezer*28 Date marking > 24 hrs,on site,temp 41F2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; andDiscard food in the walk in cooler by use by dateNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY202411700 PRESTON RD #612
47213PAPA JOHNS PIZZARoutine2024-01-12951127BECKLEYNAVENaN1127 N BECKLEY AVE75203*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.Can opener blade observed w/ residue*37 Preventing contamination from other sources. Miscellaneous sources of Contamination1.0228.70 Food. Preventing contamination by consumers. (e) Preventing contamination from other sources. Miscellaneous sources of Contamination. Food shall be protected from contamination that may result from a factor or source not specified in õõ228.65 - 228.70 of this title.Due to residue on blade any other cans opened with can opener exposed to cross contamination*45Physical Facilities Floors,Walls,Ceilings1.0228.173 Physical Facilities. Floors, walls, and ceilings. (a) Cleanability. Except as specified under subsection (d) of this section, and except for antislip floor coverings or applications that may be used for safety reasons, the floors, floor coverings, walls, wall coverings, and ceilings shall be designed, constructed, and installed so they are smooth and easily cleanable,Fix broken base boards by prep coolerNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20241127 N BECKLEY AVE
47214WHOLE FOODS MARKET/BAKERYRoutine2024-02-09952118ABRAMSNaNRDNaN2118 ABRAMS RD75214*19 Water & Plumbing in good repair- per code3.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; andfaucet leaking at prep sink*37 Storing the food at least 15 cm (6 inches) above the floor1.0228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.bag of sugar on floor- must be 6 inches or more off floor*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.clean off display case doors/ tracks, bunkersNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY20242118 ABRAMS RD
47215FIESTA MART SEAFOODRoutine2024-02-09905334ROSSNaNAVENaN5334 ROSS AVE75204*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.RFSM not on site*32 Maintain in Good Repair2.0228.223 REQUIREMENTS APPLICABLE TO CERTAIN ESTABLISHMENTS Bed and Breakfast . (h) Equipment and utensil design and construction. All equipment and utensils shall be constructed of safe materials and maintained in good repair.cutting board needs to be resurfaced from any damaged surfaces*36 Cloths in-use for wiping between uses stored1.0228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; andwiping cloths need ti be in bucket between usages*19 Water & Plumbing in good repair- per code3.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; and3 comp sink is leaking from under side , needs to be repaired*39 Equipment-doors, seal hinges adjusted/intact1.0228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (a) Good repair and proper adjustment. (2) Equipment components such as doors, seals, hinges, fasteners, and kick plates shall be kept intact, tight, and adjusted in accordance with manufacturer's specifications.seal on the WIF needs to be repaired*47 Other Violations1.0NaNFood permit not displayedNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY20245334 ROSS AVE
47216EL RIO GRANDE LATIN MARKET #10 (PRODUCE)Routine2024-02-08973035BUCKNERNBLVDNaN3035 N BUCKNER BLVD75228*31 Individual, disposable towels2.0228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;no paper towels at back hand sink (WIC/ prep area)*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.clean along bottom of display bunkers/ edgesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY20243035 N BUCKNER BLVD
47217EL CHAROLAZO COMIDA MEXICANA CON SABORRoutine2024-02-098211200HARRY HINESNaNBLVD#WXZ11200 HARRY HINES BLVD #WXZ75229*09 Food protected cross contamination arrange each type food in equipment so cross is prevented3.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; andobserved eggs stored above produce in ric*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.food manager was not onsite*29 Sanitizing solutions, testing devices2.0228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.missing test strips*31 Heated air hand drying device2.0228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (3) a heated-air hand drying device.missing drying towel in both hand sinks*36 Cloths in-use for wiping between uses stored1.0228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; andneed to store mop cloths in bucket*43 Light - 50 foot : Food and utensils area1.0228.177 Physical Facilities. Lighting, intensity. The light intensity shall be: (3) at least 540 lux (50 foot candles) at a surface where a food employee is working with food or working with utensils or equipment such as knives, slicers, grinders, or saws where employee safety is a factor.vent light is out*45Floor, wall, ceiling - Exposed material1.0(c) Floors, walls, and ceilings. (1) A food establishment containing a food handling area, food processing area, food preparation area, food storage area, equipment or utensil washing area, walk-in refrigerating unit, dressing room, locker room, toilet room, or vestibule shall: (C) prevent exposed construction in these areas, including but not limited to the exposure of pipes, conduits, ductwork, studs, joists, and rafters;need to repair ceiling gaps*15 Bare hands contact with ready-to-eat foods3.0228.65 Food. Preventing contamination by employees. (a) Preventing contamination from hands. (2) Except when washing fruits and vegetables as specified in õ228.66(e) of this title or as specified in paragraphs (4) and (5) of this subsection, food employees may not contact exposed, ready-to-eat food with their bare hands and shall use suitable utensils such as deli tissue, spatulas, tongs, single-use gloves, or dispensing equipment.need to wear gloves when handling cooked tortila*19 Backflow Prevention. The plumbing system shall preclude backflow of a solid, liquid, or gas cont3.0228.273 PRIVATE WATER SYSTEMS Backflow Prevention The plumbing system shall preclude backflow of a solid, liquid, or gas contaminant into the water supply system at each point of use, including on a hose bib, by: (2) installing an approved backflow prevention device that meets the American Society of Sanitary Engineering (ASSE) standards for construction, installation, maintenance, inspection, and testing for that specific application and type of device.need to repair leaking mop sinkNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY202411200 HARRY HINES BLVD #WXZ
47218PARSONS HOUSE PRESTON HOLLOWRoutine2024-01-22924205NORTHWESTWHWYNaN4205 W NORTHWEST HWY75220*09 Raw ready to eat - Food protected from cross contamination by separating, storage, preparation,3.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (A) except as specified in subparagraph (A)(iii) of this paragraph,separating raw animal foods during storage, preparation, holding, and display from: (i) raw ready-to-eat food including other raw animal food such as fish for sushi or molluscan shellfish, or other raw ready-to-eat food such as vegetables; andcannot store raw food (bacon, eggs) above ready to eat food (veggies)*42 Nonfood-contact surfaces material1.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (i) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment that are exposed to splash, spillage, or other food soiling or that require frequent cleaning shall be constructed of a corrosion-resistant, nonabsorbent, and smooth material.clean the interior of the reach in cooler*16 Substitued pasteurized eggs/broken eggs....3.0228.82 Food. Additional safeguards, requirements for food establishments serving highly susceptible populations. Pasteurized foods and prohibited food. In a food establishment that serves a highly susceptible population: . (2) Pasteurized eggs, egg products. Pasteurized shell eggs or pasteurized liquid, frozen, or dry eggs or egg products shall be substituted for raw shell eggs in the preparation of: (B) except as specified in paragraph (6) of this subsection, recipes in which more than one egg is broken and the eggs are combined;provide pasteurized eggs (shelled eggs not pasteurized)*37 Storing the food at least 15 cm (6 inches) above the floor1.0228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.store food 6 inches off the ground (food on floor in the walk in freezer)NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20244205 W NORTHWEST HWY

Duplicate rows

Most frequently occurring

Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location# duplicates
10843MCDONALDSRoutine2023-03-30994223ILLINOISWAVENaN4223 W ILLINOIS AVE75211*39 Soda nozzles and ice bin clean as specified1.0228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (a) Equipment food-contact surfaces and utensils. (5) Except when dry cleaning methods are used as specified in õ228.115(a) of this title, surfaces of utensils and equipment contacting food that is not time/temperature control for safety shall be cleaned: (D) in equipment such as ice bins and beverage dispensing nozzles and enclosed components of equipment such as ice makers, cooking oil storage tanks and distribution lines, beverage and syrup dispensing lines or tubes, coffee bean grinders, and water vending equipment: (i) at a frequency specified by the manufacturerOBSERVED RUST AROUND SCREW IN ICE MACHINE, COLLECTING CONDENSATION. USE MATERIAL THAT DOES NOT RUST OR IS MORE RESISTED TO RUSTING, CLEAN AROUND SCREW.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMar 2023FY20234223 W ILLINOIS AVE\n(32.72093, -96.88957)6
905AMERICAN FOOD VENDING SERVICES @ TI DMOS (CALL 214-789-1656)Routine2023-04-2610013353TINaNBLVDNaN13353 TI BLVD75243NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2023FY202313353 TI BLVD4
1510BAYLOR UNIVERSITY MED CTR PHYSICIANSRoutine2023-08-161003500GASTONNaNAVENaN3500 GASTON AVE75246NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNAug 2023FY20233500 GASTON AVE4
1755BISHOP DUNNE HIGH STADIUMRoutine2023-11-15993900RUGGEDNaNDRNaN3900 RUGGED DR75224*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.Ceiling fan blades shall be clean to sightNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2023FY20243900 RUGGED DR4
2499CANTEEN @ AMAZON IAH1-LARGE REMOTE BREAKROOMRoutine2022-07-151009155SOUTHLINKNaNDRNaN9155 SOUTHLINK DR75241NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2022FY20229155 SOUTHLINK DR\n(32.63708, -96.7475)4
2745CC YOUNG (LEVEL 5 CAFE)Routine2022-09-061004849LAWTHERWDRNaN4849 W LAWTHER DR75214NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNSep 2022FY20224849 W LAWTHER DR\n(32.85442, -96.730528)4
3659CONCOURSE SHOPSRoutine2022-08-09100208AKARDSSTNaN208 S AKARD ST75202NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNAug 2022FY2022208 S AKARD ST\n(32.779605, -96.799243)4
5860FAITH FAMILY ACADEMYRoutine2023-11-16100300KIESTWBLVDNaN300 W KIEST BLVD75224NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2023FY2024300 W KIEST BLVD4
6352FOODA AT SOUTHWEST AIRLINES (CAFETERIA SEATING AREA)Routine2024-01-31972195RESEARCHNaNROWNaN2195 RESEARCH ROW75235*24 Food Labeling- with common name of the food2.0228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (A) the common name of the food, or absent a common name, an adequately descriptive identity statement;Label squeeze bottles with name of food*35 Hair Restraints effective1.0228.43 Management and Personnel. Hair restraints. (a) Except as provided in subsection (b) of this section, food employees shall wear hair restraints such as hats, hair coverings or nets, beard restraints, and clothing that covers body hair, that are designed and worn to effectively keep their hair from contacting exposed food; clean equipment, utensils, and linens; and unwrapped single-service and single-use articles.Provide hair net to be effectiveNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20242195 RESEARCH ROW4
6901GOLDEN CHICKRoutine2024-01-039410443CENTRALNEXPWNaN10443 N CENTRAL EXPW75231*03 <<<HOT HOLD (135øF)>>>3.0NaNNaN*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY202410443 N CENTRAL EXPW4